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Aysegül Nihan Erol Sahin; Zeynep Hamzacebi; Bahtiyar Güler; Batuhan Ayyildiz – Online Submission, 2023
One of the most significant objectives of the learning and teaching processes is to achieve meaningful learning for the individual; in line with this objective, educators are searching for various methods to accomplish meaningful learning and make it enduring. Following the present age, the sought-after and essential qualified human profile should…
Descriptors: Thinking Skills, Active Learning, Educational History, Grade 8
Pialarissi, Elisiê; De Oliveira Prado, Danielle Gonçalves; Da Silva, Gustavo Avelino; De Godoi, Milena Maria – International Society for Technology, Education, and Science, 2022
As imperceptible as it is, mathematics is fundamental and is present on several occasions in our daily lives, but among 65 countries Brazil still ranks 53rd in education. The lack of investment in primary education has affected students learning since the early years. From this perspective, this paper proposed to verify teaching/learning in…
Descriptors: Foreign Countries, Mathematics Instruction, Teaching Methods, Learning Processes
Allison Liu; Jenny Yun-Chen Chan; Ji-Eun Lee; Lauren E. Decker-Woodrow; Shihfen Tu; Adam Sales; Craig A. Mason – Grantee Submission, 2022
The current study investigated how prior knowledge moderated the effects of three educational technologies ("From Here to There," "DragonBox 12+," and problem sets in "ASSISTments") on seventh-grade students' later algebraic knowledge. Pretest scores only moderated effects of "From Here to There," with…
Descriptors: Prior Learning, Program Effectiveness, Game Based Learning, Intervention
Rahimi, Seyedahmad; Shute, Valerie J.; D'Mello, Sidney K. – AERA Online Paper Repository, 2023
We investigated the effects of in-game learning supports' timing in a game called Physics Playground where we randomly assigned 149 students (M[subscript age] = 14, SD = 0.96) to receive learning supports either Before (n = 50) or After (n = 46) playing game levels--a no-support Control (n = 53) condition was included. We found that students…
Descriptors: Educational Games, Middle School Students, High School Students, Physics
Slater, Stefan; Baker, Ryan S.; Wang, Yeyu – International Educational Data Mining Society, 2020
Feature engineering, the construction of contextual and relevant features from system log data, is a crucial component of developing robust and interpretable models in educational data mining contexts. The practice of feature engineering depends on domain experts and system developers working in tandem in order to creatively identify actions and…
Descriptors: Data Analysis, Engineering, Classification, Models
Rita Rodrigues; João Ferreira-Santos; Julia Draghi; Margarida M. Marques; Lúcia Pombo – International Association for Development of the Information Society, 2024
To drive effective change towards sustainable development, several courses of action have been devised, and education was pointed as a way to attain this goal. Recognizing the impact of learning in context, it is essential to develop innovative educational proposals that bring schools into other social contexts. This study aims to present, albeit…
Descriptors: Sustainable Development, Student Attitudes, Handheld Devices, Telecommunications
Karimov, Ayaz; Saarela, Mirka; Kärkkäinen, Tommi – International Educational Data Mining Society, 2023
Within the last decade, different educational data mining techniques, particularly quantitative methods such as clustering, and regression analysis are widely used to analyze the data from educational games. In this research, we implemented a quantitative data mining technique (clustering) to further investigate students' feedback. Students played…
Descriptors: Student Attitudes, Feedback (Response), Educational Games, Information Retrieval
Kang, Jina; An, Dongwook; Yan, Lili; Liu, Min – International Educational Data Mining Society, 2019
Collaborative problem-solving (CPS) as a key competency required in the 21st century. There has been an increasing need to understand CPS since it involves not only cognitive but also social processes, and thus its process is difficult to examine. Recent research has highlighted that computer-based learning environments provide an opportunity for…
Descriptors: Cooperative Learning, Problem Solving, Science Education, Educational Games
Laffey, James; Griffin, Joseph; Sigoloff, Justin; Sadler, Troy; Goggins, Sean; Womack, Andrew; Wulff, Eric – Grantee Submission, 2019
Mission HydroSci (MHS) teaches water systems and scientific argumentation towards meeting Next Generation Science Standards. MHS is a game-based 3D virtual environment for enacting transformational role-playing, wherein students must learn new knowledge and competencies in order to successfully complete the game missions. MHS was developed for…
Descriptors: Educational Games, Educational Technology, Technology Uses in Education, Role Playing
Lee, Ji-Eun; Hornburg, Caroline Byrd; Chan, Jenny Yun-Chen; Ottmar, Erin – Grantee Submission, 2021
We investigated the effects of proximal grouping of numbers, problem-solving goals to make 100, and prior knowledge on students' solution strategies in an online mathematics game. Logistic regression on 857 problem-level data points from 227 middle-school students showed that students were more likely to use productive solution strategies on…
Descriptors: Mathematics Instruction, Teaching Methods, Middle School Students, Computer Games
Akram, Bita; Min, Wookhee; Wiebe, Eric; Mott, Bradford; Boyer, Kristy Elizabeth; Lester, James – International Educational Data Mining Society, 2018
A key affordance of game-based learning environments is their potential to unobtrusively assess student learning without interfering with gameplay. In this paper, we introduce a temporal analytics framework for stealth assessment that analyzes students' problem-solving strategies. The strategy-based temporal analytic framework uses long short-term…
Descriptors: Educational Games, Problem Solving, Educational Environment, Short Term Memory
Nguyen, Huy; Wang, Yeyu; Stamper, John; McLaren, Bruce M. – International Educational Data Mining Society, 2019
Knowledge components (KCs) define the underlying skill model of intelligent educational software, and they are critical to understanding and improving the efficacy of learning technology. In this research, we show how learning curve analysis is used to fit a KC model--one that was created after use of the learning technology--which can then be…
Descriptors: Middle School Students, Knowledge Representation, Models, Computer Games
Käser, Tanja; Schwartz, Daniel L. – International Educational Data Mining Society, 2019
Open-ended learning environments (OELEs) allow students to freely interact with the content and to discover important principles and concepts of the learning domain on their own. However, only some students possess the necessary skills for efficient and effective exploration. Guidance in the form of targeted interventions or feedback therefore has…
Descriptors: Educational Environment, Interaction, Cluster Grouping, Models
Açikgül, Kübra – Acta Didactica Napocensia, 2020
The purpose of this study is to investigate the effect of Technological Pedagogical Content Knowledge (TPACK) Game activities supported micro-teaching practices on middle school preservice mathematics teachers' TPACK self-efficacy perception levels. A single group pretest-posttest experimental design was employed. One hundred middle-school…
Descriptors: Instructional Effectiveness, Pedagogical Content Knowledge, Technological Literacy, Educational Games
Nguyen, Huy Anh; Hou, Xinying; Stamper, John; McLaren, Bruce M. – International Educational Data Mining Society, 2020
A challenge in digital learning games is assessing students' learning behaviors, which are often intertwined with game behaviors. How do we know whether students have learned enough or needed more practice at the end of their game play? To answer this question, we performed post hoc analyses on a prior study of the game "Decimal Point,"…
Descriptors: Computer Games, Educational Games, Game Based Learning, Instructional Effectiveness