Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 2 |
Descriptor
Author
| Boyer, Kristy Elizabeth | 1 |
| Ha, Eun Young | 1 |
| Holcomb, John | 1 |
| Ingram, Amy | 1 |
| Lam, Ho Cheong | 1 |
| Lester, James | 1 |
| Phillips, Robert | 1 |
| Spalsbury, Angela | 1 |
| Vouk, Mladen | 1 |
| Wallis, Michael | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 3 |
Education Level
| Higher Education | 2 |
| Early Childhood Education | 1 |
| Elementary Secondary Education | 1 |
| Postsecondary Education | 1 |
| Preschool Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Lam, Ho Cheong – Educational Research for Policy and Practice, 2016
One of the purposes of introducing the use of action research in schools is to bring about educational change in policy and practice. To make this happen, it is of paramount importance to look into how teachers actually see action research. We, the writers of this paper, are teacher educators, teaching preschool teachers courses related to action…
Descriptors: Investigations, Action Research, Phenomenology, Educational Change
Boyer, Kristy Elizabeth; Phillips, Robert; Ingram, Amy; Ha, Eun Young; Wallis, Michael; Vouk, Mladen; Lester, James – International Journal of Artificial Intelligence in Education, 2011
Identifying effective tutorial dialogue strategies is a key issue for intelligent tutoring systems research. Human-human tutoring offers a valuable model for identifying effective tutorial strategies, but extracting them is a challenge because of the richness of human dialogue. This article addresses that challenge through a machine learning…
Descriptors: Markov Processes, Intelligent Tutoring Systems, Tutoring, Program Effectiveness
Holcomb, John; Spalsbury, Angela – Journal of Statistics Education, 2005
Textbooks and websites today abound with real data. One neglected issue is that statistical investigations often require a good deal of "cleaning" to ready data for analysis. The purpose of this dataset and exercise is to teach students to use exploratory tools to identify erroneous observations. This article discusses the merits of such…
Descriptors: Experiential Learning, Data Processing, Data Analysis, Error Correction

Peer reviewed
Direct link
