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Direct linkHollingsworth, Leah Nicole – ProQuest LLC, 2019
The purpose of this study was to examine the effects of a vocabulary tutoring intervention with defining key vocabulary terms and algebraic problem-solving skills of students who struggle with mathematics. Literature shows that there is a need to further explore how students with mathematical learning difficulties learn mathematics vocabulary at…
Descriptors: Mathematics Instruction, Vocabulary, Tutoring, Algebra
Richard, Verna Marie – ProQuest LLC, 2019
The purpose of this mixed methods study was to investigate relationships between students' ALEKS usage, teachers' implementation of ALEKS, and student performance on the 2017-2018 LEAP 2025 mathematics assessment. The quantitative portion of the study involved district-level analyses and teacher-level analyses that explored relationships between…
Descriptors: Electronic Learning, Intelligent Tutoring Systems, Standardized Tests, Mathematics Tests
Peer reviewedHowell, Elizabeth; Walkington, Candace – Journal of College Student Retention: Research, Theory & Practice, 2022
This study examines two 5-year longitudinal data sets of community college students (n = 595 and n = 593) to explore factors associated with successful outcomes in developmental mathematics. Logistic regression models consider the role of demographic factors, course format, and student support structures on the likelihood of a student completing…
Descriptors: Community Colleges, Two Year College Students, Longitudinal Studies, Outcomes of Education
Amanova, Chynar – Quarterly Review of Distance Education, 2022
Current technologies for qualitative data analysis treat all types of data analysis as a homogeneous category, and for this reason, the value of other technologies for a discourse analysis of transcripts is not well examined. Therefore, the current study addresses how qualitative data can be analyzed by a learning analytic tool, such as Knowledge…
Descriptors: Student Attitudes, Foreign Students, Discourse Analysis, Computer Software
Download full textSterett H. Mercer; Joanna E. Cannon – Grantee Submission, 2022
We evaluated the validity of an automated approach to learning progress assessment (aLPA) for English written expression. Participants (n = 105) were students in Grades 2-12 who had parent-identified learning difficulties and received academic tutoring through a community-based organization. Participants completed narrative writing samples in the…
Descriptors: Elementary School Students, Secondary School Students, Learning Problems, Learning Disabilities
Michael Weiss; Howard Bloom – Society for Research on Educational Effectiveness, 2022
Background: In fall 2020, community colleges (CCs) served nearly five million students, representing 29% of U.S. undergraduates. Despite providing unprecedented access to postsecondary education, rates of degree attainment are low. Among first-time, full-time, degree/certificate-seeking students whose first postsecondary school is a CC, only 31%…
Descriptors: Community Colleges, Educational Attainment, Graduation Rate, Barriers
Roberts, Abigail K.; Spangenberg, Erica D. – Pythagoras, 2020
Many learners are unmotivated to learn mathematics due to a lack of attention, irrelevance of mathematics, low self-confidence and dissatisfaction. However, peer tutoring can afford learners opportunities to engage with other individuals who have overcome similar challenges in the learning of mathematics and who can motivate them to become…
Descriptors: Peer Teaching, Tutoring, Role Perception, Learning Motivation
Standen, Penelope J.; Brown, David J.; Taheri, Mohammad; Galvez Trigo, Maria J.; Boulton, Helen; Burton, Andrew; Hallewell, Madeline J.; Lathe, James G.; Shopland, Nicholas; Blanco Gonzalez, Maria A.; Kwiatkowska, Gosia M.; Milli, Elena; Cobello, Stefano; Mazzucato, Annaleda; Traversi, Marco; Hortal, Enrique – British Journal of Educational Technology, 2020
Artificial intelligence tools for education (AIEd) have been used to automate the provision of learning support to mainstream learners. One of the most innovative approaches in this field is the use of data and machine learning for the detection of a student's affective state, to move them out of negative states that inhibit learning, into…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Identification
Chiu, Mei-Shiu – Journal of Educational Data Mining, 2020
This study aims to identify effective affective states and behaviors of middle-school students' online mathematics learning in predicting their choices to study science, technology, engineering, and mathematics (STEM) in higher education based on a "positive-affect-to-success hypothesis." The dataset (591 students and 316,974 actions)…
Descriptors: Gender Differences, Predictor Variables, STEM Education, Course Selection (Students)
Teo, Peter; Koh, Dorothy – Educational Philosophy and Theory, 2020
This study focuses on the phenomenon of private supplementary tutoring, otherwise known as 'shadow education', which has proliferated around the world. By casting the spotlight on one particular shadow education institution (SEI) in Singapore and viewing it through the lens of Dewey's educational philosophy, the study aimed to illuminate the inner…
Descriptors: Educational Philosophy, Competition, High Stakes Tests, Foreign Countries
Zatarain Cabada, Ramón; Barrón Estrada, María Lucía; Ríos Félix, José Mario; Alor Hernández, Giner – Interactive Learning Environments, 2020
Emotions play an important role in students learning to master complex intellectual activities such as computer programing. Emotions such as confusion, boredom and frustration in the student are important factors in determining whether the student will master the exercise of learning to program in the short and long term. Motivation also plays an…
Descriptors: Programming, Game Based Learning, Emotional Response, Psychological Patterns
Curwen, Margaret Sauceda – Issues in Teacher Education, 2020
In March, our on-campus tutoring program for credential candidates and local students was shut down by the pandemic. This signature program had served families and the community for many years and provided essential fieldwork experience for credential candidates in our elementary and secondary reading methods courses. Most importantly, it provided…
Descriptors: Preservice Teacher Education, Tutoring, Tutor Training, Web Based Instruction
Govender, Nereshnee; Alcock, Andrea – Africa Education Review, 2020
Traditionally, universities of technology (UoTs) have focussed on education to prepare students for the workplace. The Durban University of Technology (DUT) is currently undergoing a pedagogical transformation with the inclusion of a general education curriculum that aims to prepare students for an increasingly complex globalised work environment.…
Descriptors: Laboratories, Writing (Composition), Peer Teaching, Universities
Roschelle, Jeremy; Cheng, Britte Haugan; Hodkowski, Nicola; Haldar, Lina; Neisler, Julie – Digital Promise, 2020
In this exploratory research project, our team's goal was to design and begin validation of a measurement approach that could provide indication of a student's ability to transfer their mathematics understanding to future, more advanced mathematical topics. Assessing transfer of learning in mathematics and other topics is an enduring challenge. We…
Descriptors: Fractions, Transfer of Training, Tutoring, Individual Instruction
Chen-Chung Liu; Wan-Jun Chen; Fang-ying Lo; Chia-Hui Chang; Hung-Ming Lin – Journal of Educational Computing Research, 2024
Reading requires appropriate strategies to spark initial interest and sustain engagement. One promising strategy is the pedagogical approach of learning-by-teaching, transforming learners into active participants. Integrating this approach into digitalized and individualized reading contexts has the potential to foster the development of young…
Descriptors: Reading Interests, Active Learning, Intelligent Tutoring Systems, Artificial Intelligence
