| 62192 |
Creator |
3a7e1208601d2480ab76f5a4888d255f |
| 62192 |
Creator |
c79cc1129e553cdca30fa856443ac46e |
| 62192 |
Creator |
c9d52ef4a11ad1277436a89c20d0a5d4 |
| 62192 |
Creator |
7f0d834d148482f23481272913af65c7 |
| 62192 |
Creator |
a9a97ac58a1dd64befd06ad78f505793 |
| 62192 |
Creator |
ce6380dbaaf961bb95b31b9b1cf9d808 |
| 62192 |
Date |
2019 |
| 62192 |
Date |
2019-11 |
| 62192 |
Is Part Of |
p14678535 |
| 62192 |
Is Part Of |
repository |
| 62192 |
abstract |
This study presents an advanced predictive learning analytics system, OU Analyse (OUA),
and evidence from its evaluation with online teachers at a distance learning university.
OUA is a predictive system that uses machine-learning methods for the early identification
of students at risk of not submitting (or failing) their next assignment. Teachers
have access, via interactive dashboards, to weekly predictions of risk of failing
for each of their students. In this study, we examined how the degree of OUA usage
by 559 teachers, of which 189 were given access to OUA, related to student learning
outcomes of more than 14K students in 15 undergraduate courses. Teachers who made
‘average’ use of OUA were found to benefit their students the most; after controlling
for performance differences, these students were found to have significantly better
performance than their peers in the previous year’s presentation during which the
same teachers made no use of predictive learning analytics. Implications for the teaching
practice, in particular the empowerment of teachers in online and distance learning
settings are discussed. |
| 62192 |
abstract |
This study presents an advanced predictive learning analytics system, OU Analyse (OUA),
and evidence from its evaluation with online teachers at a distance learning university.
OUA is a predictive system that uses machine learning methods for the early identification
of students at risk of not submitting (or failing) their next assignment. Teachers
have access, via interactive dashboards, to weekly predictions of risk of failing
for each of their students. In this study, we examined how the degree of OUA usage
by 559 teachers, of which 189 were given access to OUA, related to student learning
outcomes of more than 14 000 students in 15 undergraduate courses. Teachers who made
“average” use of OUA, that is accessed OUA throughout the life cycle of a course presentation,
and in particular between 10% and 40% of the weeks a course was running, and intervened
with students flagged as at risk were found to benefit their students the most; after
controlling for differences in academic performance, these students were found to
have significantly better performance than their peers in the previous year's course
presentation during which the same teachers made no use of predictive learning analytics.
Predictive learning analytics is an innovative student's support approach in online
pedagogy that, as shown in this study, can empower online teachers in effectively
monitoring and intervening with their students, over and above other approaches, and
result in improved learning outcomes. |
| 62192 |
authorList |
authors |
| 62192 |
issue |
6 |
| 62192 |
status |
peerReviewed |
| 62192 |
uri |
http://data.open.ac.uk/oro/document/899426 |
| 62192 |
uri |
http://data.open.ac.uk/oro/document/899427 |
| 62192 |
uri |
http://data.open.ac.uk/oro/document/900608 |
| 62192 |
uri |
http://data.open.ac.uk/oro/document/900609 |
| 62192 |
uri |
http://data.open.ac.uk/oro/document/900610 |
| 62192 |
uri |
http://data.open.ac.uk/oro/document/900611 |
| 62192 |
uri |
http://data.open.ac.uk/oro/document/900612 |
| 62192 |
uri |
http://data.open.ac.uk/oro/document/900613 |
| 62192 |
uri |
http://data.open.ac.uk/oro/document/901905 |
| 62192 |
volume |
50 |
| 62192 |
type |
AcademicArticle |
| 62192 |
type |
Article |
| 62192 |
label |
Herodotou, Christothea ; Hlosta, Martin ; Boroowa, Avinash ; Rienties, Bart ; Zdrahal,
Zdenek and Mangafa, Chrysoula Empowering online teachers through predictive learning
analytics. British Journal of Educational Technology (Submitted). |
| 62192 |
label |
Herodotou, Christothea ; Hlosta, Martin ; Boroowa, Avinash ; Rienties, Bart ; Zdrahal,
Zdenek and Mangafa, Chrysoula (2019). Empowering online teachers through predictive
learning analytics. British Journal of Educational Technology, 50(6) pp. 3064–3079. |
| 62192 |
label |
Herodotou, Christothea ; Hlosta, Martin ; Boroowa, Avinash ; Rienties, Bart ; Zdrahal,
Zdenek and Mangafa, Chrysoula (2019). Empowering online teachers through predictive
learning analytics. British Journal of Educational Technology (Early Access).
|
| 62192 |
Title |
Empowering online teachers through predictive learning analytics |
| 62192 |
in dataset |
oro |