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4.2 Individual Study and Test
In team-based mobile learning, it is important to get the individual learner prepared for
the learning task and take readiness assessment tests. To ensure individual preparation,
the learning materials should be allocated to the intelligent learning platform timely
and appropriately. Questions are designed to evaluate students’ conceptual
understanding of the learning materials. Michaelsen and colleagues [5] suggest
approximately twenty multiple-choice questions at the start of each new module for the
readiness assessment test. However, depending on the complexity of the learning task,
the number of questions may vary from five to twenty. For example, in an English class,
the team-based presentation project is based on a 15-minute video speech which lasts
20-30 minutes. To get all students prepared for the project presentation in face-to-face
class, five multiple-choice questions are an appropriate design to test students’
understanding of the video speech before the project presentation.
4.3 Multiple Team Activities
To achieve both the learning and performance goal through team-based projects on the
mobile platform, there are various activities conducted during the process. First of all,
before the team project, the performing team discuss and decide the topic, and then
upload the resource to the intelligent teaching platform. To ensure the class readiness
for their project presentation, they design the questions and initiate a readiness
assessment quiz in the interactive learning environment. When performing their project
in class, they may involve other teams’ participation by conducting brainstorming,
survey, question-answering game and so on. After the project performance, other teams
make peer assessment and give them a score according to the rubrics established at the
beginning of the semester.
4.4 Self-efficacy and Team Potency
According to Bandura [20], self-efficacy is defined as people’s beliefs “about their
capabilities to produce designated levels of performance that exercise influence over
events that affect their lives”. In Internet-based settings, many research [21] [22] [23]
indicate that students with higher self-efficacy gain better performance than those with
lower self-efficacy. Team potency is another belief shared by team members that their
group is effective at achieving assigned results [24]. The study by Monteiro and Vieira
[25] demonstrates that team potency has a positive relationship with self-efficacy. In
the implementation of the TBML model, the hypothesis is that the achievement of both
learning and performance goals is closely connected with students’ self-efficacy and
team potency, which are reflected by collaboration and teamwork in the team-based
project.
4.5 Learning Outcome and Performance Evaluation
In the TBML model, learning outcome is mainly evaluated by quizzes, tests, exams and
peer assessment. For one thing, students’ personal learning goal is specifically related
to the subject and content they are learning. And it is mainly evaluated by quizzes and
tests. For another, performance goal is assessed through peer evaluation on the team-
Q.Zhuetal. /Team-BasedMobileLearning: AFramework forSupporting InteractiveLearning 245
Intelligent Environments 2019
Workshop Proceedings of the 15th International Conference on Intelligent Environments
- Titel
- Intelligent Environments 2019
- Untertitel
- Workshop Proceedings of the 15th International Conference on Intelligent Environments
- Autoren
- Andrés Muñoz
- Sofia Ouhbi
- Wolfgang Minker
- Loubna Echabbi
- Miguel Navarro-CĂa
- Verlag
- IOS Press BV
- Datum
- 2019
- Sprache
- deutsch
- Lizenz
- CC BY-NC 4.0
- ISBN
- 978-1-61499-983-6
- Abmessungen
- 16.0 x 24.0 cm
- Seiten
- 416
- Kategorie
- Tagungsbände