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McNeill, Nathan J.; Douglas, Elliot P.; Koro-Ljungberg, Mirka; Therriault, David J.; Krause, Ilana – Journal of Engineering Education, 2016
Background: Problem solving is considered to be a central activity of engineering practice. While some studies have shown how various beliefs affect students' abilities to solve problems, studies are needed that explicitly examine the beliefs and assumptions students bring to the problem-solving process. Purpose/Hypothesis: The purpose of this…
Descriptors: Problem Solving, Engineering Education, Student Attitudes, Grounded Theory
Aleven, Vincent; Roll, Ido; McLaren, Bruce M.; Koedinger, Kenneth R. – International Journal of Artificial Intelligence in Education, 2016
Help seeking is an important process in self-regulated learning (SRL). It may influence learning with intelligent tutoring systems (ITSs), because many ITSs provide help, often at the student's request. The Help Tutor was a tutor agent that gave in-context, real-time feedback on students' help-seeking behavior, as they were learning with an ITS.…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Help Seeking, Feedback (Response)
Lohrer, Johannes-Y.; Kaltenthaler, Daniel; Kröger, Peer – International Association for Development of the Information Society, 2016
In this paper, we describe a framework for data analysis that can be embedded into a base application. Since it is important to analyze the data directly inside the application where the data is entered, a tool that allows the scientists to easily work with their data, supports and motivates the execution of further analysis of their data, which…
Descriptors: Data Analysis, Expertise, Models, Evaluation Methods
Blotenberg, Iris; Schmidt-Atzert, Lothar – Journal of Intelligence, 2019
The present study set out to explore the locus of the poorly understood but frequently reported and comparatively large practice effect in sustained attention tests. Drawing on a recently proposed process model of sustained attention tests, several cognitive tasks were administered twice in order to examine which specific component of test…
Descriptors: Attention Control, Tests, Models, Test Items
The 2I/E Model: Integrating Temporal Comparisons into the Internal/External Frame of Reference Model
Wolff, Fabian; Nagy, Gabriel; Retelsdorf, Jan; Helm, Friederike; Köller, Olaf; Möller, Jens – Journal of Educational Psychology, 2019
The 2I/E model is an extension of Marsh's (1986) classical internal/external frame of reference (I/E) model. Whereas the classical I/E model describes the formation of academic self-concept by the joint operation of social (external) and dimensional (internal) comparisons, the 2I/E model integrates temporal comparisons as an additional internal…
Descriptors: Comparative Analysis, Self Concept, Academic Achievement, Grades (Scholastic)
Saadati, Farzaneh; Cerda, Gamal; Giaconi, Valentina; Reyes, Cristian; Felmer, Patricio – International Journal of Science and Mathematics Education, 2019
This study was designed to examine predictors of instructional beliefs related to problem solving that influence mathematics in-service teachers' practices in the Chilean context. A total of 713 in-service mathematics teachers from various elementary schools participated in the survey study during 2015 and 2016. Results showed that teachers'…
Descriptors: Mathematical Models, Foreign Countries, Mathematics Instruction, Mathematics Teachers
Bahr, Michael W.; Leduc, James D.; Hild, Melissa A.; Davis, Shannon E.; Summers, Jenna K.; Mcneal, Brittany – Psychology in the Schools, 2017
In 2010, the National Association of School Psychologists approved the "Model for Comprehensive and Integrated School Psychological Services" (or the NASP Practice Model), codifying what an expanded role encompasses in the delivery of school-based psychological services. This study examined the role and function of school psychology…
Descriptors: School Counselors, School Counseling, Counselor Role, Psychological Services
Cocea, Mihaela; Magoulas, George D. – IEEE Transactions on Learning Technologies, 2017
Exploratory learning environments (ELEs) promote a view of learning that encourages students to construct and/or explore models and observe the effects of modifying their parameters. The freedom given to learners in this exploration context leads to a variety of learner approaches for constructing models and makes modelling of learner behavior a…
Descriptors: Generalization, Mathematics Instruction, Computer Simulation, Discovery Learning
Shahbari, Juhaina Awawdeh; Peled, Irit – International Journal of Science and Mathematics Education, 2017
This article describes sixth-grade students' engagement in two model-eliciting activities offering students the opportunity to construct mathematical models. The findings show that students utilized their knowledge of fractions including conceptual and procedural knowledge in constructing mathematical models for the given situations. Some students…
Descriptors: Mathematics Education, Primary Education, Grade 6, Mathematics Skills
Best, Mareike; Bikner-Ahsbahs, Angelika – ZDM: The International Journal on Mathematics Education, 2017
This paper is about the development of a task sequence to help overcome the fragmented understanding of the "function" concept that students often bring with them into the initial stage of upper secondary school level. Our aim is to make the students' use of functions more flexible in certain respects, for example when functions are…
Descriptors: Secondary School Students, Task Analysis, Mathematical Concepts, Mathematical Models
Savard, Annie; Polotskaia, Elena – ZDM: The International Journal on Mathematics Education, 2017
Mathematical relationships are crucial elements to consider for learning mathematics. However, too often students pay more attention to the calculations to be done rather than the reasons for doing them. Relying on the relational paradigm to support elementary school students, we proposed two specially designed tasks to help students recognize and…
Descriptors: Mathematics Instruction, Mathematical Logic, Addition, Multiplication
Noll, Jennifer; Kirin, Dana – Statistics Education Research Journal, 2017
Teaching introductory statistics using curricula focused on modeling and simulation is becoming increasingly common in introductory statistics courses and touted as a more beneficial approach for fostering students' statistical thinking. Yet, surprisingly little research has been conducted to study the impact of modeling and simulation curricula…
Descriptors: Statistics, Introductory Courses, Models, Teaching Methods
Hasbrouck, Jan – Theory Into Practice, 2017
A recent research report from the International Literacy Association (ILA, 2015) discussed the current challenges facing today's educators, noting the increasing diversity of students' backgrounds and needs, coupled with the higher expectations and standards being widely adopted to prepare students for 21st-century skills. The ILA (2015) document…
Descriptors: Coaching (Performance), Faculty Development, Models, Teacher Collaboration
The Effect of TPS and PBL Learning Models to the Analytical Ability of Students in Biology Classroom
Ramdiah, Siti; Mayasari, Ria; Husamah; Fauzi, Ahmad – Asia-Pacific Forum on Science Learning and Teaching, 2018
Analytical thinking is the competency needed by students in order to compete and achieve success in the professional field for the 21st Century. Research that aims to examine the most optimal learning model in empowering students' analytical thinking needs to be done since many students have low ordered thinking skills. Through this…
Descriptors: Foreign Countries, Thinking Skills, Critical Thinking, Problem Solving
Wang, Chao; Lu, Hong – Educational Technology & Society, 2018
This study focused on the effect of examinees' ability levels on the relationship between Reflective-Impulsive (RI) cognitive style and item response time in computerized adaptive testing (CAT). The total of 56 students majoring in Educational Technology from Shandong Normal University participated in this study, and their RI cognitive styles were…
Descriptors: Item Response Theory, Computer Assisted Testing, Cognitive Style, Correlation

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