Arcagok, S. (2021). The impact of game-based teaching practices in different curricula on academic achievement. International Online Journal of Education and Teaching (IOJET), 8(2). 778-796. Received : 05.12.2020 Revised version received : 10.01.2021 Accepted : 13.01.2021 THE IMPACT OF GAME-BASED TEACHING PRACTICES IN DIFFERENT CURRICULA ON ACADEMIC ACHIEVEMENT Research Article Serdar Arcagök orcid.org/0000-0002-4937-3268. Çanakkale Onsekiz Mart University, Turkey serdar_arcagok21@comu.edu.tr Serdar Arcagok is an Assistant Professor in the Department of Elementary Education at Çanakkale Onsekiz Mart University, Çanakkale, Turkey. His research interests include curriculum and instruction, research methods, and teacher training Copyright © 2014 by International Online Journal of Education and Teaching (IOJET). ISSN: 2148-225X. Material published and so copyrighted may not be published elsewhere without written permission of IOJET. mailto:serdar_arcagok21@comu.edu.tr http://orcid.org/xxxx International Online Journal of Education and Teaching (IOJET) 2021, 8(2), 778-796. 779 THE IMPACT OF GAME-BASED TEACHING PRACTICES IN DIFFERENT CURRICULA ON ACADEMIC ACHIEVEMENT Serdar Arcagök serdar_arcagok21@comu.edu.tr Abstract The study aimed to identify the impact of game-based teaching practices available in different curricula on academic achievement. The study adopted meta-analysis method via grouping similar studies about that subject, theme under the heading of certain criteria, and combining the quantitative data obtained. For this purpose, 412 studies conducted between the years of 2000-2020 were examined and 54 experimental studies on the game-based teaching practices were included in the study. The data of 54 experimental studies were analyzed via the Comprehensive Meta-Analysis Program (CMA) and MetaWin programs. The study results revealed that the game-based teaching practices applied in different curricula affect the students’ academic achievement positively compared to traditional practices. The effect sizes of game-based curricula were identified to significantly differ across education levels, treatment duration, sample sizes and publication types. Keywords: Academic achievement, curricula, game, Instruction, meta-analysis. 1. Introduction Turkish Language Association defines the concept of a game as "entertainment that develops talent and intelligence, that has certain rules and that helps to have a good time" (Turkish Language Association [TLA], 2020). Upon examining the studies conducted on game, the concept of game is defined by researchers in various ways. While Kinzie and Joseph (2008) defined game “as an immersive, voluntary and fun activity in which a challenging goal is pursued according to the agreed rules” (p. 644), Aarseth (2014) stated that “Games are the facilitators that structure player behavior and whose main goal is enjoyment.”(p. 181). Games can be classified according to various features they contain. Game elements such as the age range the game appeals to (infant age games, early childhood games, children's games, youth games, adult games), the development area it develops (cognitive games, physical games, language games, social games, games based on self-care skills), the feature of the place where it is played (indoor games, outdoor games) allow them to be divided into their types. Thanks to the transdisciplinary method, games can take place between different genres at the same time according to a variety of characteristics. For instance, imitation play can be classified as social games and free games as well as childhood games. In this regard, games can be classified with different angles although there are no clear rules determining the types of games (Bardak, 2018). Thinkers such as Froebel, Dewey, Montessori, Quantilianus, Locke, Aristotle, Comenius, Pestalozzi, Piaget, Rousseau and Vygotsky have accumulated considerable knowledge in the historical process with their views on the necessity, significance and benefits of the game. With the emergence of Piaget's cognitive and Vygotsky's social-cultural based game approaches, the mailto:serdar_arcagok21@comu.edu.tr Arcagok 780 place and significance of the game in human life have drawn great attention in time. In this context, although game is an interdisciplinary subject of study, its effects on the processes of formation of the mind, the definition of culture, and the shaping of the self have been discussed (Nicolopoulou, 1993). A game is known to be a key role in the lives of not only humans but also all living things. Games, which are beneficial for different purposes for people of all ages, have fundamental contributions to the education and development of individuals. In this sense, games had to be integrated in curricula not only as an entertainment tool but also as an educational tool (Malta, 2010). The game has a significant place in terms of educational science and it is a real educational tool. However, some societies that attach importance to formal education do not consider it as a productive activity and therefore do not include it in their education systems (Aral, 2010). The Game Based Learning Model, which concentrates on the learning of individuals by playing, was developed by Garris, Ahlers and Driskell (2002). Game-based learning model consists of input, process and output parts. Instructional contents and game characteristics constitute the input while the game cycle in the process part, and learning outcomes in the output. The instructional contents and game characteristics in the input are blurred in the process of the game cycle. The game cycle begins with the action of the player. Feedback is presented to the individual within the game cycle as a result of the player's action. In this way, the individual begins to discover the structure of the game and adapt to this structure. Based on the game cycle, the individual must carry out the inquiry process in order to reach the outputs. During the inquiry process, the individual adapts and applies what they learn in the game to their real life. Individuals who can successfully complete the inquiry process gain learning outcomes (Garris, Ahlers, & Driskell, 2002). Individuals discover new knowledge in the light of the knowledge they have with a view to achieving learning outcomes in game-based learning environments. In this process, individuals who compare their prior knowledge with their new knowledge add new information on top of their old knowledge to produce different and new solutions. This characteristic of the game-based learning model indicates that the individual can access new knowledge through observation, research, and questioning in a way that is far from memorizing (Türkmen, 2017). 1.1. The Significance of Game-Based Teaching Considering the educational outcomes of learning by playing, many scientific studies revealed that educational games are an effective learning tool (Chen, Wang and Lin, 2015; Hwang, Wu, Chen, 2015; Papastergiou, 2009; Virvou, Katsionis and Manos, 2005). Besides, game-based activity processes were mentioned to not only increase the learning motivation of individuals (Yang, 2012; Virvou, Katsionis, & Manos, 2005; Hwang, Wu, Chen, 2015;), but also provide individuals with interactive learning opportunities (Prensky, 2001). In this context, the advantages of game-based learning were found to be interesting and motivating (Doğusoy & İnal, 2006), that the targeted knowledge and skills can be easily gained to individuals thanks to the learning environments that become fun and enjoyable (Güngörmiş, 2007), and problem- solving skills based on research and inquiry can be developed (Doğusoy & İnal, 2006), opportunities for learning by learning by doing are offered (Aksoy, 2014) and can increase the quality of education when applied effectively (Bağcı & Çoklar, 2014). Despite the advantages of game-based learning environments, some scientific studies concluded that there are also possible disadvantages which are the need for large investments in terms of resources and time for an effective game-based learning environment (Aksoy, 2014; Bayırtepe & Tüzün, 2007), the need for more control than traditional learning environments, difficulties in carefully International Online Journal of Education and Teaching (IOJET) 2021, 8(2), 778-796. 781 determining the suitability of the designed games to the age levels of the individuals by the educator (Ocak, 2013), individuals focusing only on the enjoyment factor and not adopting the educational outcomes of the game (Şahin, 2015). Upon analyzing the relevant literature, the studies showed that a variety of game based teaching practices conducted experimentally within different curricula in Turkey and abroad positively affect the students’ academic achievement. These studies were carried out in such curricula as physical education and game teaching (Zetou et al., 2014;), computer and instructional technologies (Bayırtepe & Tüzün, 2007), geography (Chen, Yeh, & Chang, 2015; attention (Gözalan, 2013;), language skills (Uyanık and Alisinanoğlu, 2016,) science (Al- Tarawneh, 2016; Gazeteci, 2014; Güner, 2018; Sung & Hwang, 2013; Şahin, 2015; Tokgöz, 2017; Tut, 2018), English (Gömleksiz, 2005), mathematics (Bozoğlu, 2013; Chang et al., 2012; Çelik and Kandır, 2013; Hung, Huang & Huwang, 2014; King, 2011; Sevigen, 2013; Türkmen, 2017; Yiğit, 2007; Weis, Kramarski & Talis, 2007) and music (Ayan & Kaya, 2016). The studies emphasized that game-based teaching practices applied in curricula improve students' motivation, willingness to learn, curiosity and different skills. In this regard, this study aims to identify the impact of game-based teaching practices available in different curricula upon academic achievement through meta-analysis. In addition, the effects of different variables (education levels, treatment duration, publication types and sample sizes) on academic achievement were also examined. 2. Method 2.1. Research Model The study adopted the meta-analysis method in order to examine the effect of game-based teaching on students' academic achievement. The meta-analysis method aims at grouping similar studies about a subject, theme or study under the heading of certain criteria and combining as well as interpreting the quantitative findings for these studies (Sterne, Gavaghan & Egger, 2000). Meta-analysis studies include combining a series of studies obtained from similar studies under a common heading through statistical analysis (Hedges, 1992). In this sense, the main purpose of meta-analysis studies is to combine the results obtained from different studies to obtain a general result (Dinçer, 2014). Meta-analysis studies have a sequential process that includes defining the research problem, structuring the theoretical framework, systematic coding of the obtained data and the data analysis by transforming it into a common scale (Glass, 2006). 2.2. Data Collection Procedure In this study, different experimental studies involving game-based learning between the years of 2000-2020 were examined. The first research was reached on June 5, 2019, and the last one on December 1, 2020. The steps followed in this study can be presented as follows (Borenstein, Hedges, Higgins & Rothstein, 2009; Dinçer, 2014): 1. Identification of the subject: The subject of this study was addressed as the analysis of the effect of game-based teaching on students' academic achievement. 2. Establishing the theoretical framework: 412 studies on the research subject were found by scanning the databases of Turkish Higher Education Council National Thesis Center, Arcagok 782 Google Academic, Proquest, British Education Index, Scopus, Eric, Australia Education Index, Web of Science (SCI-Exp. / SSCI / AHCI). 3. Determination of Criteria: The studies with post-test scores of experimental and control groups from true experimental and semi-experimental studies were taken into consideration as research criteria. 4. Identification of the variables related to the research subject: The study variables were determined by considering the theoretical framework. In this framework, the education level, sample size, type of publication and duration of treatment were determined as the variables of the study. 5. Determination of research questions: The themes that form the basis of the research questions were determined in this step. After the themes were determined, the research questions were included depending on the research topic and variables. 6. Creating codes based on themes: After the themes were determined in the context of the research questions, each study was grouped and coded under themes. 7. Performing the analyzes: The data analysis was performed through use of Comprehensive Meta-Analysis (CMA) and MetaWin analysis programs. 8. Calculation of the effect coefficient: The pre-test and post-test scores were examined several times by two different data encoders in order to calculate the effect coefficient, and the procedure was performed depending on the findings of the same data type. 9. Heterogeneity test: The data to be obtained as a result of the heterogeneity test is a significant factor in choosing the model for calculating the overall effect. After the effect sizes of the individual studies were calculated, the heterogeneity test was carried out by means of meta-analysis software (CMA and MetaWin). The heterogeneity test results showed that the p- value was less than .05 or the Q value was greater than the df value in the X2 table, meaning that the analyzed studies were heterogeneous. The p and Q values obtained as a result of the heterogeneity test suggested that the data were heterogeneous in the current study. In this context, the analyzes were made according to the random effects model. 10. Calculation of the general effect: The findings obtained as a result of the heterogeneity test revealed the model to be selected. This study used random effects model based upon heterogeneity test results. 2.3. Criteria The studies included in the meta-analysis study consisted of those aiming to determine the students’ academic achievement in game-based teaching practices in different curricula. The research criteria both prevented publication bias and increased the quality of meta-analysis studies. In this framework, the following criteria were taken into account (Batdı, 2014): 1. The studies examining the effect of game based teaching in different curricula in Turkey and abroad between 2000-2020 on student achievement were included in the study. However, abstracts or full text proceedings presented in symposiums, congresses etc. were not taken into consideration. 2. The studies in which experimental groups consisted of game-based teaching and control groups included traditional practices other than game-based education were taken into consideration. International Online Journal of Education and Teaching (IOJET) 2021, 8(2), 778-796. 783 3. Studies showing the sample size (N), posttest arithmetic mean (X) and standard deviation scores (Sd) of experimental and control groups were taken into account. In addition, those that indicate the sample size (N) and t value or sample size and (p) value of the experimental and control groups were also considered. Moreover, the study included and examined some studies presenting the arithmetic mean (X) and (p) values of post-test scores of experimental and control groups. 4. In the studies with more than one post-test, experimental or control group, one of the data was included in the study by following the random path. 5. The studies were searched on the databases such as Web of Science (SCI-Exp. / SSCI / AHCI), Turkey HEB National Thesis Center, ERIC, SCOPUS, British Education Index, Australian Education Index, ProQuest and Google academic. Key words such as "Game", "Game-based teaching", "Playground" were used to obtain the data. In this regard, 892 studies covering game-based teaching in different curricula were achieved. Of these studies, 842 studies were excluded as they did not meet the specified criteria. Thus, 54 studies that met the research criteria were found to be eligible during the analysis process. 2.4. Variables The effect size of each study aiming to determine the effectiveness of the game-based teaching practices in different curricula were indicated as the dependent variable of the study having emerged as a result of statistical analysis. The dependent variables (study characteristic) of this study are given as follows (Bernard et al., 2004): 1. Education level: In this theme, the education levels were coded as preschool education, primary school and secondary school. 2. Treatment duration: Treatment duration was coded as two themes, studies conducted in 1-5 weeks and those over 5 weeks. 3. Sample size: The sample sizes were coded into two themes as studies with sample sizes of 1-60 and over 60. 4. Publication type: This theme was coded as two -article and postgraduate theses. 2.5. Data coding The elicited data depending on the research theme were collected in a common file by examining different databases in electronic environment. Depending on the research theme, a certain coding list was created in a word document. The coding list was divided into two parts. The first part of this list included the surnames of the researchers and the publication date of the research, variables (education levels, treatment duration, sample sizes and publication types). The second part of the coding list included arithmetic mean (), standard deviation (Sd), dependent sample t values and significant difference values (p), sample numbers (N) and effect sizes related to the experimental and control group posttest scores of the studies. 2.6. Data Analysis CMA and MetaWin meta-analysis data programs were utilized during data analysis. Therefore, the effect sizes of these studies were calculated by considering the data of each study in detail. In meta-analysis applications, Hedges'g and Cohenn's d meta-analysis applications are the coefficients used in the calculation of effect sizes (Borenstein et al. 2009). Arcagok 784 Despite the use of different formulas, the results of the operations performed according to Hedges'g and Cohen's d coefficients were similar. In the study Hedges' g coefficient in calculating the effect sizes of the data was used. 3. Findings Considering the whole of 54 studies comparing game-based experimental studies in different curricula, 1876 students were found to constitute the experimental group while 2125 students the control group. Table 1 depicts the percentage (%) and frequency (f) values of the independent variables in the study. Table 1. The independent variables and statistical distributions of the studies Variable Frequency (f) Percentage (%) Education Level Preschool 11 20.37 Primary 16 29.63 Secondary 27 50 Sample Size 1-49 19 35.18 50 -99 25 46.29 100 and over 10 18.53 Treatment Duration 1-5 weeks 29 53.70 More than 5 weeks 25 46.30 Publication types Thesis 19 35.18 Article 35 54.82 Table 1 revealed that half of the studies were conducted at the secondary school level (50%). There were also studies carried out at primary school (29.32%) and pre-school (20.37%) education levels. Considering the sample sizes of the studies, 19 studies were identified to have sample sizes between 1-49 (35.18%) while 25 of them had a sample size between 50-99 (46.29%). Besides, there were 10 studies (18.53%) with 100 or more samples. While 29 studies (53.70%) were found to have 1-5 week-treatment duration, 25 studies (46.30%) were conducted for more than 5 weeks. Upon analyzing the publication types, 35 studies (54.82%) were determined to be articles and 19 studies (35.18%) were theses. 3.1. Study effect sizes Hedges'g values, impact directions, standard error and variance values of the studies considered within the scope of the research are shown in Figure 1. International Online Journal of Education and Teaching (IOJET) 2021, 8(2), 778-796. 785 Figure 1. The effect direction, standard error and variance values of the studies Taking the diagram in Figure 1 into account, the value ranges of 50 studies examined within the scope of meta-analysis were found to differ across 4.498 and -0.985. While 46 studies had a positive effect size, 4 studies had a positive effect size. The study with the largest confidence interval was the one conducted by Biresen (2017), whereas the study with the narrowest confidence interval was conducted by Hung, Huang, and Hwang (2014). 50 (92.59%) of 54 studies demonstrated that game-based teaching practices in different curricula positively affects the students’ achievement. Arcagok 786 3.2. Publication bias statistics In the study, seeking the effect of game-based practices applied in different curricula on the academic achievement of the students, Funnel Plot (Funnel plot) graph was examined and the Rosenthal FSN value and Begg and Mazumdar rank correlation statistics were analyzed. The results of this analysis are displayed below. Figure 2: Effect size funnel plot In funnel charts, effect size is shown on the horizontal (X) axis, and sample size or variance on the vertical (Y) axis (Sterne & Harbord, 2004). As can be seen in the figure, most of the studies were found to be in the funnel and the data were symmetrically distributed. Rosental FSN and Begg Mazumdar rank Correlation values (Dinçer, 2014) were also examined as the effect size funnel plot would not be sufficient alone in determining the publication bias. Table 2. Rosental FSN values determined for 54 studies examining the effect of game-based practices in different curricula on students' academic achievement. Z-value for observed studies 19.58130 P-value for observed studies 0,000000* Alpha 0.05 Directions 2 Z value for alpha 1.95996 Number of the observed studies 54 FSN 5336 Considering the analysis results in Table 2, the statistical significance value of p = .000 depends on the existence of 5336 studies with effect size in order to be p <.05. The Rosental FSN value was noted to be higher than the number of studies examined within the scope of the analysis. Therefore, it may be wise to mention that the study is resistant to publication bias (Rosenthal, 1991). In other words, the calculated value reveals the number of publications required for the meta-analysis result to become meaningless. This value is determined using the formula N/ (5k+10). If the value calculated here exceeds the critical value of 1, it indicates that the meta-analysis is sufficiently resistant for further studies (Mullen, Muellereile, & Bryant, 2001). The determination of the value obtained from this study as 19.05 as a result of International Online Journal of Education and Teaching (IOJET) 2021, 8(2), 778-796. 787 the analyzes performed via the Rosental method indicates that the meta-analysis results are highly resistant to primary research to be conducted on similar subjects. 3.3. Distribution of the studies examined in the context of meta-analysis according to effect models Average effect sizes (ES), degrees of freedom (df) and total heterogeneity values (Q) and confidence intervals for effect sizes according to fixed and random effect models are depicted in Table 3. Table 3. Average effect sizes and homogeneity values according to model types Model Type N Z Q ES Confidence Intervals Lower Limit Upper Limit Fixed Effects Model (FEM) 54 15.2 701.869 .501 .437 .566 Random Effects Model (REM) 54 6.72 .826 .585 1.067 The analyzes performed according to the fixed effect model suggested that the standard error value was calculated as .033, the lower limit of the 95% confidence interval was determined as .437 and the upper limit as .566. In addition, the effect of game-based practices on academic achievement in different curricula can be said to be positive with a value of .501 according to the fixed effects model. This value was accepted as (X2(0.95) = 72.153) at .05 significance level and 53 degrees of freedom in the chi square (X2) table in terms of the Q statistical value 701.869. Since the Q statistical value (Q=701.869) was greater than the critical value (Q=71.153) in the present study, the effect size value was heterogeneous. In this regard, analyzes were carried out based upon the random effects model due to the heterogeneous nature of the data. The fact that the effect size value was (ES =.82) in the analyzes made according to the random effects model indicated that game-based teaching practices in different curricula are more effective than traditional practices and this difference is significant. The effect size (ES=.82) was at a medium level in this study (Cohen et al., 1992). 3.4. An analysis of game-based teaching practices in different curricula according to the education level variable The studies under the title of this variable were divided into three parts in order to determine the effect sizes of the studies conducted within the scope of game-based teaching practices. These were preschool education, primary school and secondary school. Table 4 suggests the analyzes performed according to these subgroups. Table 4. Effect sizes according to education levels Education level N ES %95 confidence interval for the effect size Lower limit Upper limit Preschool 11 .614 .442 .787 Primary 16 .693 .576 .810 Secondary 27 .369 .281 .457 Arcagok 788 As is seen in Table 4, the highest effect size (ES =.576) was determined in preschool education, and the lowest effect size (ES =.281) at the secondary school level. Q statistic value was calculated as (Qb =20.501) in terms of the homogeneity test. The 95% significance level and 53 degrees of freedom were calculated as 20.501 (X2( 0.95)= 20.501) by taking into account the chi square (X2) table. With 53 degrees of freedom at a 95% significance level from the chi square (X2) table, the critical value was accepted as 72.153. Since the Q statistical value 20.501 was less than 72.153, which is the critical value, the homogeneity test for the effect size was accepted in the random effects model. The effect sizes were identified to significantly vary across education level since the effect sizes were (Qb = 20.501,p<.05) between groups determined according to education levels. 3.5. An analysis of game-based teaching practices in different curricula according to the treatment duration variable With the aim of determining the total effect sizes of the studies conducted in the context of game-based teaching practices, the studies were listed under two sub-headings. One of them was experimental studies applied between 1-5 weeks. Another sub-heading covered the experimental studies applied in more than 5 weeks. The analyzes performed according to these subgroups are depicted in Table 5. Table 5. Effect sizes according to treatment duration Treatment duration N ES %95 confidence interval for the effect size Lower limit Upper limit 1-5 weeks 29 .670 .486 .942 5 weeks and over 25 .347 .550 1.439 Table 5 shows that the effect size (ES =.995) of the practices performed for 5 weeks or more according to the treatment duration of the game-based teaching practices in different curricula was determined to be higher than those performed between 1-5 weeks (ES =.714). Q statistic value was calculated as (Qb =23.532) according to the homogeneity test. This value was accepted as 72.153 at 95% significance level and 53 degrees of freedom according to the chi square (X2) table (X2( 0.95)= 72.153). With the statistical value of 23.532, the chi-square distribution at 53 degrees of freedom was found to remain below the critical value (X2 (0.95) = 72.153). In line with these values, the effect size distributions of the studies may be said to have a homogeneous structure. Hence, the study findings were evaluated according to the fixed effects model. The effect sizes between the groups were determined to significantly differ across the treatment duration of the experimental studies (Qb = 23.532, p < .05). 3.6. An analysis of game-based teaching practices in different curricula according to the publication type variable The studies were examined under two sub-headings as articles and theses with the intent of determining the total effect sizes of the studies conducted within the scope of game-based teaching practices in terms of publication type. The distribution of the findings regarding these variables is presented in Table 6. International Online Journal of Education and Teaching (IOJET) 2021, 8(2), 778-796. 789 Table 6. Effect sizes according to publication types Publication types N ES %95 confidence interval for the effect size Lower limit Lower limit Articles 35 .564 .484 .644 Theses 19 .384 .270 .498 Given the publication types of the studies conducted within the scope of game-based teaching practices, the effect size of the articles (ES =.564) was noted to be higher than that of the theses (ES =.384). Considering the homogeneity test, the Q statistic value was determined as (Qb =6.45). This value was determined as 72.153 at 95% significance level and 53 degrees of freedom from the chi square (X2) table (X2( 0.95)= 72.153). The statistical value of Q was 6.45 with 53 degrees of freedom which is below the critical value of the chi-square distribution (X2 (0.95) = 72.153). Based upon these values, it was determined that the effect size distributions of the studies were homogeneous, and the findings were evaluated according to the fixed effects model. The effect sizes between the groups were identified to have significant differences in terms of publication types of the studies (Qb = 6.45, p < .05). 3.7. An analysis of game-based teaching practices in different curricula according to the sample size variable The total effect sizes of the studies conducted within the framework of game-based teaching practices were examined in terms of sample size as 1-49, 50 -99 and 100 or over. Table 7 presents the distribution of the findings regarding these variables. Table 7. Effect sizes according to sample size Sample size N ES %95 confidence interval for the effect size Lower limit Lower limit 1-49 19 .702 .550 .854 50 -99 25 .693 .587 .799 100 and over 10 .252 .158 .356 Table 7 indicates that the group with the highest effect size in the sample size variable of game-based teaching practices applied in different curricula was the variables with samples between 1-49 (ES =.702). The group with the lowest effect size was the variable with 100 or over samples (ES =.252). The homogeneity test results pointed that the Q statistic value was (Qb= 42.609). This value was determined as 72.153 with 53 degrees of freedom at a 95% significance level as in the chi square (X2) table (X2( 0.95)= 72.153). In this context, the statistical value of Q was below the critical value (X2 (0.95) = 72.153) of the chi-square distribution at 53 degrees of freedom with 42.609. These values suggested that the effect size distributions of the studies were homogeneous, and the elicited findings were evaluated in terms of the fixed effects model. The effect sizes between the groups were found to significantly vary across the sample size of the studies (Qb = 42.609, p < .05). Arcagok 790 4. Discussion, Conclusion and Recommendations This study attempts to examine the effects of game-based practices in the curricula of different education levels (preschool, primary school and secondary school) on the students’ academic achievement. Studies indicated that game-based teaching practices support students' development and skills, and they also offer them different learning opportunities (Al- Tarawneh, 2016; Bai, 2012; Gelman, 2010; Güner, 2018; Hayıroğlu & Ulus, 2017; Ploger & Hecht, 2009). Game-based learning also increases students' motivation for activities in the lesson (Hsiao & Chen, 2016). There is a close link between game and learning. Students learn by experiencing the activities in their curriculum through games. In this regard, games contribute to students' learning in a safe, effective and enjoyable way (Zetou et al., 2014). Game-based learning experiences emerge as a key factor that improves students' both mental and social emotional abilities (Sung & Hwang, 2013). Moreover, adapting games to curricula has a positive impact on students' psycho-motor development (Hsiao & Chen, 2016; Zetou et al., 2017). Game-based practices also positively affect students' problem-solving skills (Chang et al., 2012). The results of this study have revealed that game-based teaching increases the students’ academic achievement. The study also shows that game-based practices in different curricula play a dominant role in increasing student achievement compared to traditional practices. Game-based teaching practices have been determined to increase students' achievement in mathematics (Bozoğlu, 2013; Garneli, Giannakos, Chorianopoulos, 2017; Gelman, 2010; Hung, Huang & Hwang, 2014, King, 2011, Ploger & Hecht, 2009), science (Gazeteci, 2014; Sung & Hwang, 2013; Şahin, 2015; Tokgöz, 2017), physical education and game (Hsiao & Chen, 2016; Zetou et al., 2017), geometry (Bozoğlu, 2013), language skills (Uyanık & Sinanoğlu, 2016), geography (Chen, Yeh & Chang, 2015) courses. Another remarkable finding of the study is that the academic achievement of the precshoool and primary school students in game-based teaching practices was higher than secondary school students. This may be due to students' high level of motivation for learning (Sung & Hwang, 2013), being more interested and curious about learning (Weiss, Kramarski, & Talis, 2006), not just enjoying games but seeing them as an educational tool (Al-Tarawneh, 2016). When the treatment duration of game-based teaching practices in different curricula were compared, it was determined that the practices performed between 1-5 weeks increased the students’ academic achievement more than those performed over 5 weeks, and this difference was found to be in favor of the practices performed between 1-5 weeks. The reasons for this may be the decrease in the students’ interest and curiosity and the problems of focusing on the practices as the treatment duration extends. As the age level decreases, the students' interest in teaching practices tends to decrease. Another result of the study is that the academic achievement of the students increases as the sample size decreases. The small number of students in teaching practices contributes to peer- to-peer learning deficiencies, mutual learning, and meaningful learning efforts through peers (Tran, 2012; Johnson, 2014). Based upon these reasons, academic achievement in game-based teaching practices may be expected to be higher in studies with a small sample size. The results also indicate that the effect sizes of the articles are at a higher level than the theses. The reasons for this can be considered as the review of the articles by the field editors of the journals and their evaluation by different referees in the relevant field. In this study, meta-analysis was utilized. In further studies, game-based curricula can be examined through meta-thematic and mega-multiple holistic approaches. International Online Journal of Education and Teaching (IOJET) 2021, 8(2), 778-796. 791 References (The studies marked (*) were included in the meta-analyses). Aarseth E. (2014). I Fought the Law: Transgressive play and the ımplied player. In: Segal N. & Koleva D. (Eds.) From Literature to Cultural Literacy. Palgrave Macmillan, London. https://doi.org/10.1057/9781137429704_13. *Akın, F. A., & Atıcı, B. (2015). 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