Publication Date
| In 2026 | 0 |
| Since 2025 | 3 |
| Since 2022 (last 5 years) | 7 |
| Since 2017 (last 10 years) | 24 |
| Since 2007 (last 20 years) | 40 |
Descriptor
Source
Author
| Aleven, Vincent | 13 |
| Rummel, Nikol | 9 |
| Olsen, Jennifer K. | 5 |
| Brunskill, Emma | 3 |
| Doroudi, Shayan | 3 |
| Holstein, Kenneth | 3 |
| Ifenthaler, Dirk, Ed. | 3 |
| Kelly Collins | 3 |
| Melissa Lee | 3 |
| Mingyu Feng | 3 |
| Rau, Martina A. | 3 |
| More ▼ | |
Publication Type
| Reports - Research | 35 |
| Speeches/Meeting Papers | 19 |
| Journal Articles | 14 |
| Collected Works - Proceedings | 4 |
| Books | 1 |
| Collected Works - General | 1 |
| Reports - Descriptive | 1 |
Education Level
Audience
Location
| Brazil | 3 |
| Massachusetts | 2 |
| Taiwan | 2 |
| California | 1 |
| China | 1 |
| China (Beijing) | 1 |
| China (Shanghai) | 1 |
| Finland | 1 |
| France | 1 |
| Germany | 1 |
| Italy | 1 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
| Program for International… | 2 |
What Works Clearinghouse Rating
| Does not meet standards | 1 |
Peer reviewedNatalie Brezack; Melissa Lee; Kelly Collins; Wynnie Chan; Mingyu Feng – Grantee Submission, 2025
Students' effort and emotions are important contributors to math learning. In a recent study evaluating the efficacy of MathSpring, a scalable web-based intelligent tutoring system that provides students with personalized math problems and affective support, system usage data were collected for 804 U.S. 10-12-year-olds. To understand the patterns…
Descriptors: Intelligent Tutoring Systems, Problem Solving, Behavior Patterns, Student Behavior
Melissa Lee; Chun-Wei Huang; Kelly Collins; Mingyu Feng – Grantee Submission, 2025
Math anxiety has been found to negatively correlate with math achievement, affecting students' choices to take fewer math classes and avoid math educational opportunities. Educational technology tools can ameliorate some of the negative effects of math anxiety. We examined students' math anxiety, effort in an educational technology platform, and…
Descriptors: Correlation, Mathematics Anxiety, Mathematics Achievement, Outcomes of Education
del Olmo-Muñoz, Javier; González-Calero, José Antonio; Diago, Pascual D.; Arnau, David; Arevalillo-Herráez, Miguel – British Journal of Educational Technology, 2022
Problem solving is often regarded as one of the most essential cognitive functions in our daily lives, and, for that reason, educational theorists have long stressed the need for its development. As cognitive flexibility is a fundamental characteristic necessary throughout the problem-solving process, the purpose of this study is to analyse…
Descriptors: Problem Solving, Arithmetic, Grade 5, Grade 6
Meng Xia; Robin Schmucker; Conrad Borchers; Vincent Aleven – Grantee Submission, 2025
Mastery learning improves learning proficiency and efficiency. However, the overpractice of skills--students spending time on skills they have already mastered--remains a fundamental challenge for tutoring systems. Previous research has reduced overpractice through the development of better problem selection algorithms and the authoring of focused…
Descriptors: Mastery Learning, Skill Development, Intelligent Tutoring Systems, Technology Uses in Education
Mingyu Feng; Natalie Brezack; Chunwei Huang; Melissa Lee; Megan Schneider; Kelly Collins; Wynnie Chan – Society for Research on Educational Effectiveness, 2024
Background/Context: Math education remains a critical focus for national education improvement. As a solution, districts in the U.S. are investing in math education technologies. Research has demonstrated the potential of these technologies to close achievement gaps (e.g., Pape et al., 2012; Roschelle et al., 2016). Student math achievement is…
Descriptors: Mathematics Education, Problem Solving, Educational Technology, Technology Uses in Education
Zhang, Jingjing; Gao, Ming; Holmes, Wayne; Mavrikis, Manolis; Ma, Ning – Interactive Learning Environments, 2021
Feedback in exploratory learning systems has been depicted as an important contributor to encourage exploration. However, few studies have explored learners' interaction patterns associated with feedback and the use of external representations in exploratory learning environments. This study used Fractions Lab, an exploratory learning environment…
Descriptors: Interaction, Behavior Patterns, Discovery Learning, Fractions
Pai, Kai-Chih; Kuo, Bor-Chen; Liao, Chen-Huei; Liu, Yin-Mei – Educational Psychology, 2021
The present study aims to examine the pedagogical effectiveness of a Chinese mathematical dialogue-based intelligent tutoring system used for teaching mathematics. The mathematical unit 'multiplication and division of time expressions' was taught to 134 fifth-grade students in three types of instruction conditions: the intelligent tutoring system…
Descriptors: Dialogs (Language), Intelligent Tutoring Systems, Remedial Mathematics, Multiplication
Scaffolded Self-Explanation with Visual Representations Promotes Efficient Learning in Early Algebra
Tomohiro Nagashima; Anna N. Bartel; Stephanie Tseng; Nicholas A. Vest; Elena M. Silla; Martha W. Alibali; Vincent Aleven – Grantee Submission, 2021
Although visual representations are generally beneficial for learners, past research also suggests that often only a subset of learners benefits from visual representations. In this work, we designed and evaluated anticipatory diagrammatic self- explanation, a novel form of instructional scaffolding in which visual representations are used to…
Descriptors: Visual Aids, Scaffolding (Teaching Technique), Mathematics Instruction, Algebra
Hershcovits, Haviv; Vilenchik, Dan; Gal, Kobi – IEEE Transactions on Learning Technologies, 2020
This paper studies students engagement in e-learning environments in which students work independently and solve problems without external supervision. We propose a new method to infer engagement patterns of users in such self-directed environments. We view engagement as a continuous process in time, measured along chosen axes that are derived…
Descriptors: Electronic Learning, Problem Solving, Independent Study, Factor Analysis
de Morais, Felipe; Jaques, Patricia A. – Informatics in Education, 2022
Intelligent Tutoring Systems (ITSs) for Math still use traditional data input methods: computers' keyboard and mouse. However, students usually solve math tasks using paper and pen. Therefore, the gap between the manner the students work and the requirements imposed by these typing-based systems expose students to an extraneous cognitive load,…
Descriptors: Intelligent Tutoring Systems, Mathematics Instruction, Educational Technology, Technology Uses in Education
Meng, Qingquan; Jia, Jiyou; Zhang, Zhiyong – Interactive Technology and Smart Education, 2020
Purpose: The purpose of this study is to verify the effect of smart pedagogy to facilitate the high order thinking skills of students and to provide the design suggestion of curriculum and intelligent tutoring systems in smart education. Design/methodology/approach: A smart pedagogy framework was designed. The quasi-experiment was conducted in a…
Descriptors: Thinking Skills, Instructional Effectiveness, Technology Integration, Intelligent Tutoring Systems
Prihar, Ethan; Heffernan, Neil – International Educational Data Mining Society, 2021
Similar content has tremendous utility in classroom and online learning environments. For example, similar content can be used to combat cheating, track students' learning over time, and model students' latent knowledge. These different use cases for similar content all rely on different notions of similarity, which make it difficult to determine…
Descriptors: Computer Software, Middle School Teachers, Mathematics Teachers, College Students
Steiner, Christina M.; Albert, Dietrich – Cogent Education, 2017
Ontologies play an important role as knowledge domain representations in technology-enhanced learning and instruction. Represented in form of concept maps they are commonly used as teaching and learning material and have the potential to enhance positive educational outcomes. To ensure the effective use of an ontology representing a knowledge…
Descriptors: Concept Mapping, Content Validity, Intelligent Tutoring Systems, Elementary School Science
Nagashima, Tomohiro; Bartel, Anna N.; Silla, Elena M.; Vest, Nicholas A.; Alibali, Martha W.; Aleven, Vincent – Grantee Submission, 2020
Many studies have shown that visual representations can enhance student understanding of STEM concepts. However, prior research suggests that visual representations alone are not necessarily effective across a broad range of students. To address this problem, we created a novel, scaffolded form of diagrammatic self-explanation in which students…
Descriptors: Algebra, Teaching Methods, Visual Aids, Concept Formation
Aguerrebere, Cecilia; Cobo, Cristóbal; Whitehill, Jacob – International Educational Data Mining Society, 2018
When implementing large-scale educational computing initiatives (e.g., One Laptop Per Child) it is vital to allocate resources for training, support, and device deployment judiciously. One question that arises is how learners' engagement with online educational resources is affected by receiving a new computer; do the benefits justify the costs?…
Descriptors: Management Systems, Foreign Countries, Resource Allocation, Learner Engagement

Direct link
