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Damilola Alao

dblp:193/3880 · DBLP profile ↗
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2ranked-venue papers
1as first author
1since 2021 · last 2025
0009-0003-5641-6195ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 1 · 1 first-author · 1 since 2021Human-computer interaction and ubiquitous computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Internet of things and sensor networks · 100%
Software engineering, system software, and programming languages
1 paper
Services computing and microservices · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks › iot resource management
iot device management
0.912025
Extending IoT Devices Network Lifetime Using IoT Service Prediction and Recommendation · IEEE Trans. Serv. Comput. 2025
Internet of things and sensor networks › wireless sensor network › network lifetime
network lifetime maximization
0.912025
Extending IoT Devices Network Lifetime Using IoT Service Prediction and Recommendation · IEEE Trans. Serv. Comput. 2025

Methods — techniques the papers use, named apart from their topics

service prediction · 1.7recommendation · 1.7
YearPublicationVenuePosition
2025 Extending IoT Devices Network Lifetime Using IoT Service Prediction and Recommendation
Damilola Alao, Victorine Clotilde Wakam Younang, Amartya Sen
IEEE Trans. Serv. Comput.1
2014 Evaluating effectiveness of active learning in computer science using metacognition
abstract
Active learning refers to instruction where the learners play an active role in learning and has been found to increase student retention, improve acquisition of higher order thinking and reasoning skills, and improve performance in STEM courses. Two main active learning techniques: student response systems (aka. clickers) and flipped classroom assignments, were incorporated in University of Michigan-Flint computer science (CS) courses. This paper describes how clickers have been incorporated in CS courses and their impact on student learning. There are several ways of evaluating student learning, and tests have traditionally been considered an incomplete and limited reflection of the students' knowledge. In our prior work [11], students' metacognitive knowledge has been used as an effective measure of students' learning. Metacognitive knowledge can be considered to include knowledge of the person, the task, and the available strategies. In this work, we want our students to be aware of their level of understanding of the topics in a course. A student can use this knowledge along with knowledge of the task and available strategies to achieve the cognitive goals. This paper studies how clickers participation impacts student learning as measured by metacognitive knowledge.
Murali Mani, Nuha Alkabour, Damilola Alao
FIE3