Student engagement in mathematics: Development of instrument and validation of construct

By Qiping Kong, Ngai-ying Wong, C. Lam. 2003

175 citations recorded by the source corpus.

Subfields: Developmental and Educational Psychology, Education, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/9944b20cf0d2e4799a15915bfa16a8d4be1ab47b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Developmental and Educational Psychology

1. Jennifer Fredricks
2. Carlos Delgado Kloos
3. María-Blanca Ibáñez-Espiga
4. Angela Di Serio
5. Wendy H. McColskey
6. Darina Dicheva
7. Christo Dichev
8. Alastair Henry

In Education

1. Jennifer Fredricks
2. Wendy H. McColskey
3. Carlos Delgado Kloos
4. María-Blanca Ibáñez-Espiga
5. Angela Di Serio
6. Ming-Te Wang
7. Thomas K. F. Chiu
8. K. Ann Renninger

In Statistics and Probability

1. Carlos Delgado Kloos
2. María-Blanca Ibáñez-Espiga
3. Angela Di Serio
4. Jennifer Fredricks

Citations in the corpus

• The Measurement of Student Engagement: A Comparative Analysis of Various Methods and Student Self-report Instruments (2012, background): “The majority of engagement measures tend to be general (i.e., I like school), though there are a few examples of domain-specifi c measures (i.e., Kong et al., 2003 ; Wigfi eld et al., 2008 ) .”
• Using expectancy-value theory to explore aspects of motivation and engagement in inquiry-based learning in primary mathematics (2017, unknown): “There is a distinction in cognitive engagement between students’ use of surface strategies as distinct from deeper strategies (Kong et al. 2003).”
• Gamification for Engaging Computer Science Students in Learning Activities: A Case Study (2014, methodology): “The sequential explanatory design method comprises a quantitative phase followed by a qualitative phase [43].”