Table 2 Types of pedagogical models employed in high school biology by studies.
Study | Pedagogical Model | Sub-model/approach | Students’ learning gains | Outcome measures | Effect size (Average) |
|---|---|---|---|---|---|
Project-based | |||||
Sivia et al. (2019a) | Project-based | - | B | Pre–post-test on on-task behavior (Chi-square analysis) | 0.374 (moderate) |
Sukmawati et al. (2019) | Project-based | Collaborative learning | C & B | Post-tests on social skills, knowledge (MANOVA) | |
Sari et al. (2019) | Project-based | - | **C & B | Post-test on research skills test (Mann Whitney test) | |
Blacer-Bacolod (2022) | Project-based | Video making | A, B, & C | Pre–post-test on engagement, knowledge, self-efficiency, and technical skills (t test analysis) | |
Anazifa and Djukri (2017) | Project & problem-based | - | **C & B | Pre–post-test of creativity & and critical thinking skills (t test analysis) | |
Problem-based | |||||
Kolarova et al. (2014) | Problem-solving model | Reflexive model | A, B, & C | Pre–post-test on Levels of reflection (t test analysis) | 0.913 (very high) |
Özalemdar (2021) | Problem-solving model | Active learning method | **C & B | Pre–post-test on environmental thinking and behavior (t test analysis) | |
Hugerat et al. (2021) | Problem-solving model | Problem-based jigsaw discussion | *C & B | Pre–post-test on knowledge, motivation, and classroom climate (t test analysis). | |
Venville and Dawson (2010) | Problem & argument-based | Classroom-based argumentation | **C & B | Pre–post-test on knowledge, argumentation skills, (t test analysis) | |
Thinkhamchoet et al. (2021) | Project-based | Team activity-based learning | **C & B | Pre–post-test on Environmental knowledge, ethics (variance analysis) | |
Thurrodliyah et al. (2020) | Problem-solving model | Brain-based model | A, B, & C | Pre–post-test of cognitive, psychomotor, and, critical thinking skills (t test analysis) | |
Anazifa and Djukri (2017) | Project & problem-based | Project-based and problem-based | **C & B | Pre–post-test on creativity, and, critical thinking skills (t test analysis) | |
Inquiry-based | |||||
Lui and Slotta (2014) | Inquiry & game-based | Immersive inquiry-based simulation | **A, B & C | Students’ observations, pre–post-test on activity and knowledge (t test analysis) | 0.882 (very high) |
Thompson et al. (2020) | Inquiry & game-based | Inquiry-based 3-D virtual reality | **C | Pre–post-test on knowledge (t test analysis) | |
Saputri et al. (2019) | Inquiry-based | Higher-order thinking model | C | Pre–post-test on creative thinking skills (t test analysis) | |
Hadjichambis et al. (2022) | Inquiry-based | Environmental model | **A, B & C | Pre–post-test on Environmental Knowledge, conception, attitude, skills, values (Effect size calculated) | |
Nunaki et al. (2019) | Inquiry-based | Materials-oriented inquiry-based | *C | Pre–post-test of meta-cognitive skills (t test analysis) | |
Kagnici and Sadi (2021) | Inquiry-based | 5 E Model | **A, B & C | Pre–post-test on content knowledge, MANOVA) | |
Wilson et al. (2010) | Inquiry-based | 5 E Model | **A, B & C | Pre–post test on knowledge, reasoning, and, argumentation skills (effect size analysis) | |
Ristanto et al. (2022) | Inquiry & argument based | Guided discovery- argument model | **C | Pre–post-test on critical thinking skills (t test analysis) | |
Ping, et al. (2020) | Inquiry & argument based | Argumentation-based | **C | Pre–post-test on knowledge argumentation skills (MANOVA) | |
Blended model | |||||
Ebrahim and Naji (2021) | Blended model | Flipped learning | C | Pre–post-test on social intelligence, and, biology attainment (t test analysis) | 0.720 (high) |
Yapici and Akbayin (2012) | Blended model | - | **C & A | Pre–post-test on Knowledge, attitude, (t test analysis) | |
Kazu and Demirkol (2014) | Blended model | - | C | Pre–post-test on Knowledge, attitude, (t test analysis) | |
Game-based | |||||
Su et al. (2014) | Game-based | Educational card game | C & A | Pre–post-test on student perception of instruction, learning efficiency | 0.662 (high) |
Klisch et al. (2012) | Game-based | Online game-based | **A, B, & C | Pre–post-test on Knowledge, attitude, and, satisfaction (regression analysis) | |
Lham and Sriwattanrothai (2018) | Game-based | Boardgame | C | Pre–post-test on knowledge attainment (t test analysis) | |
Brom et al. (2011) | Game-based | Online micro game | *A | Pre–post-test on knowledge attainment (effect-size analysis) | |
Lokayut and Srisawasdi (2014) | Game-based | Computer game-based | **C & A | Pre–post-test on knowledge, perception, and self-confidence (t test analysis) | |
Klisch et al. (2013) | Game-based | Online game-based | **C & A | Pre–post-test on Knowledge, attitude, and, satisfaction (regression analysis) | |
Lui and Slotta (2014) | Game & inquiry-based | Immersive inquiry-based simulation | **A, B, C | Students’ observations, pre–post-test on knowledge (t test analysis) | |
Thompson et al. (2020) | Game & inquiry-based | Inquiry-based 3-D virtual reality | **C | Pre–post-test on knowledge (t test analysis) | |
Virtual simulation-based | |||||
Thisgaard and Makransky (2017) | Virtual simulation | Virtual laboratory simulation | A, B, & C | Multiple regression model for interest, self-efficiency, motivation, outcome expectations in biology | 0.407 (Moderate) |
Mulder et al. (2016) | Virtual simulation | Online scientific modeling | **C | Pre–post-test concept knowledge, reasoning knowledge (MANOVA) | |
Marbach-Ad et al. (2008) | Virtual simulation | Computer animation, and, illustration | **C | Pre–post-test on knowledge (MANOVA) | |
Argument-based | |||||
Venville and Dawson (2010) | Problem & argument-based | Classroom-based argumentation | **C & B | Pre–post-test on knowledge, argumentation skills, (t test analysis) | 0.815 (very high) |
Ping, et al. (2020) | Inquiry & argument-based | - | **C & B | Pre–post-test on knowledge argumentation skills (MANOVA) | |
Ristanto et al. (2022) | Inquiry & argument-based | Guided discovery argument model | **C | Pre–post-test on critical thinking skills (t test analysis) | |