Technology-supported learning environments in science classrooms in India

The adoption of technology has created a major impact in the field of education at all levels. Technology-supported classroom learning environments, involving modern information and communication technologies, are also entering the Indian educational system in general and the schools in Jammu region (Jammu & Kashmir State, India) in particular. This study, which is the first of its kind in India, reports the use of a modified form of Technology-Rich Outcomes-Focused Learning Environment Inventory (TROFLEI) for assessing students?? perceptions of their learning environments in technology-supported science classrooms. Analysis of data from 705 students from 15 classes provided evidence for the reliability and validity of the questionnaire in Indian science classroom settings. The same data also were used for studying gender differences and associations between students?? perceptions of their technology-supported learning environments and three learner outcomes (attitude towards science, academic efficacy and academic achievement).     

Who disrupts from placement in foster and kinship care?

OBJECTIVE: To identify reliable, inexpensive predictors of foster care placement disruption that could be used to assess risk of placement failure. METHODS: Using the Parent Daily Report Checklist (PDR), foster or kinship parents of 246 children (5-12 years old) in California were interviewed three times about whether or not their foster child engaged in any of the 30 problem behaviors during the previous 24 h. PDR was conducted during telephone contacts (5-10 min each) that occurred from 1 to 3 days apart at baseline. Disruptions were tracked for the subsequent 12 months. Other potential predictors of disruption were examined, including the child's age, gender, and ethnicity, the foster parent's ethnicity, the number of other children in the foster home, and the type of placement (kin or non-kin). RESULTS: Foster/kin parents reported an average of 5.77 child problems per day on the PDR checklist. The number of problem behaviors was linearly related to the child's risk of placement disruption during the subsequent year. The threshold for the number of problem behaviors per day that foster and kinship parents tolerated without increased risk of placement disruption for these latency-aged children was 6 or fewer. Children in non-kin placements were more likely to disrupt than those in kinship placements. There was a trend for increased risk of disruption as the number of children in the home increased. CONCLUSIONS: The PDR Checklist may be useful in predicting which placements are at most risk of future disruption, allowing for targeted services and supports.     

Drivers and barriers to the utilisation of gamification and game-based learning in universities: A systematic review of educators' perspectives

While gamification and game-based learning have both been demonstrated to have a host of educational benefits for university students, many university educators do not routinely use these approaches in their teaching. Therefore, this systematic review, conducted using the PRISMA guidelines, sought to identify the primary drivers and barriers to the use of gamification and game-based learning by university educators. A search of multiple databases (Web of Science, Scopus and EBSCO (Business Source Complete; ERIC; Library, Information Science & Technology Abstracts)) identified 1330 articles, with 1096 retained after duplicates were removed. Seventeen articles (11 quantitative, two mixed-methods and four qualitative) were included in the systematic review. The primary drivers described by the educators that positively influenced their gamification and game-based learning usage were their beliefs that it encourages student interactions and collaborative learning; provides fun and improves engagement; and can easily be used by students. Alternatively, the university educators' major barriers included a lack of time to develop gamification approaches, lack of proven benefits and classroom setting issues. Many of these and other less commonly reported drivers and barriers can be categorised as attitudinal, design-related or administrative in nature. Such categorisations may assist university educators, teaching support staff and administrators in better understanding the primary factors influencing the utilisation of gamification and game-based learning and develop more effective strategies to overcome these barriers to its successful implementation.

Practitioner notes

What is already known about this topic

• Gamification and game-based learning may have many benefits for university students.
• The majority of university educators do not routinely use gamification and game-based learning in their teaching.

What this paper adds

• University educators' major drivers that positively influence the use of gamification and game-based learning include their perceptions that it encourages student interactions and collaborative learning, provides fun and improves engagement and can easily be used by students.
• University educators' major barriers that negatively influence the use of gamification and game-based learning include their perceptions of a lack of time to develop gamification approaches, lack of proven benefits and classroom setting issues.
• These drivers and barriers may be classified as attitudinal, design-related and administrative, with these categories providing a useful way for universities to develop strategies to better support educators who wish to use these approaches in their teaching.

Implications for practice and policy

• Attitudinal factors such as university educators' intention to use gamification and game-based learning are influenced by a host of their perceptions including attitude, perceived usefulness and ease of use.
• A range of design-related and administrative barriers may need to be overcome to increase the use of gamification and game-based learning in the university sector.