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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
Besser, Michael; Leiss, Dominik; Blum, Werner – Teacher Development, 2020
Teacher professional development (TPD) courses can support teachers in building up pedagogical content knowledge (PCK) and in improving the quality of teaching. Therefore, having teachers participate in TPD is of special interest for educational policy. Unfortunately, knowledge about the relation between teachers' PCK and teachers' attendance in…
Descriptors: Professional Development, Pedagogical Content Knowledge, Middle School Teachers, Foreign Countries
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
Sindhgatta, Renuka; Marvaniya, Smit; Dhamecha, Tejas I.; Sengupta, Bikram – International Educational Data Mining Society, 2017
Question answering forums in online learning environments provide a valuable opportunity to gain insights as to what students are asking. Understanding frequently asked questions and topics on which questions are asked can help instructors in focusing on specific areas in the course content and correct students' confusions or misconceptions. An…
Descriptors: Questioning Techniques, Interviews, Electronic Learning, Online Courses
McKeown, Shelley; Stringer, Maurice; Cairns, Ed – British Educational Research Journal, 2016
With increasing ethnic and racial diversity in the classroom, understanding classroom dynamics and the use of space has become increasingly important. In particular, when theoretical perspectives, such as that offered by intergroup contact research, promotes the importance of contact between competing groups to improve relations. Adopting a…
Descriptors: Classroom Environment, School Segregation, Intergroup Relations, Cluster Grouping
Case, Anny Fritzen; Traynor, John – AILACTE Journal, 2016
This paper describes several innovations to an early field experience emerging from a community, school, and university partnership focused on a middle school serving diverse students from low-income neighborhoods. With the primary goal of utilizing teaching candidates to provide direct academic, social, and instructional support to the middle…
Descriptors: Field Experience Programs, Partnerships in Education, College School Cooperation, Middle School Students
Westine, Carl D. – Society for Research on Educational Effectiveness, 2015
A cluster-randomized trial (CRT) relies on random assignment of intact clusters to treatment conditions, such as classrooms or schools (Raudenbush & Bryk, 2002). One specific type of CRT, a multi-site CRT (MSCRT), is commonly employed in educational research and evaluation studies (Spybrook & Raudenbush, 2009; Spybrook, 2014; Bloom,…
Descriptors: Correlation, Randomized Controlled Trials, Science Achievement, Cluster Grouping
Gasco, Javier; Villarroel, Jose Domingo; Zuazagoitia, Dani – International Education Studies, 2014
The teaching and learning of mathematics cannot be understood without considering the resolution of word problems. These kinds of problems not only connect mathematical concepts with language (and therefore with reality) but also promote the learning related to other scientific areas. In primary school, problems are solved by using basic…
Descriptors: Word Problems (Mathematics), Problem Solving, Secondary School Mathematics, Mathematical Formulas
Crossley, Scott A.; Roscoe, Rod; McNamara, Danielle S. – Written Communication, 2014
This study identifies multiple profiles of successful essays via a cluster analysis approach using linguistic features reported by a variety of natural language processing tools. The findings from the study indicate that there are four profiles of successful writers for the samples analyzed. These four profiles are linguistically distinct from one…
Descriptors: Essays, Natural Language Processing, Computational Linguistics, Multivariate Analysis
Carhart, Elizabeth Hoag – ProQuest LLC, 2013
Federal policy makers and school leaders increasingly recognize middle school math as a turning point in students' academic success. An i3 scale-up grant allowed grant partners to conduct a large-scale implementation of PowerTeaching (PT), a research-based reform to increase student math achievement. In a mixed-methods study during the pilot phase…
Descriptors: Teacher Attitudes, School Readiness, Educational Change, Mathematics Achievement