Patrick Ocheja

It is a common practice to issue a summary of a learner’s learning achievements in form of a transcript or certificate. However, detailed information on the depth of learning and how learning or teachings were conducted is not present in the transcript of scores. This work presents the first practical implementation of a new platform for keeping track of learning achievements beyond transcripts and certificates. This is achieved by maintaining digital hashes of learning activities and managing a

As Learners move from one learning environment to another, there is a key necessity of taking with them a proof of previous learning achievements or experiences. In most cases, this is either expressed in terms of receipt of scores or a certificate of completion. While this may be sufficient for enrollment and other administrative decisions, it poses some limitations to the depth of learning analytics and consequently a slow onboarding process. Also, with different institutions having their lear

The advent of blockchain technology over the last decade has led to the development of multiple use-cases of decentralization in various fields including education. This paper presents a unique bibliometric and qualitative analysis of the blockchain in education with novel contributions on temporal development, emerging themes and practical case studies on adoption and integration with existing educational technologies. We focus on identifying the major actors in the space, demographic participa

The use of blockchain in education has become one of the trending topics in education technology research. However, only a handful of education blockchain solutions have provided a measure of the impact on students' learning outcomes, teaching, or administrative processes. This work reviews how academic data stored on the blockchain is being visualized across various education blockchain solutions. We argue that education's uniqueness requires a different visualization approach that supports stu

Ethereum's application layer data, especially the analysis of large blocks, holds critical insights into its network dynamics and future developments. In this study, we systematically analyze various components of this data, including blocks, transactions, gas prices, and address interactions. This study places a significant emphasis on systematically analyzing Ethereum blocks of size 500KB and above, a crucial element considering the impending Ethereum Improvement Proposals (EIPs) like EIP4844.

28th International Conference on Computers in Education, 23-27 November 2020, Web conference.

E-learning environments are increasingly harnessing large language models (LLMs) like GPT-3.5 and GPT-4 for tailored educational support. This study introduces an approach that integrates dynamic knowledge graphs with LLMs to offer nuanced student assistance. By evaluating past and ongoing student interactions, the system identifies and appends the most salient learning context to prompts directed at the LLM. Central to this method is the knowledge graph's role in assessing a student's comprehen

Abstract The incessant and malicious damage of oil and gas pipeline has continued to impose more challenges on production, transportation and utilization of oil and gas resources. This menace has led to loss of lives and properties, environmental pollution and degradation as well as adversely affected the economy of some countries negatively. With industry professionals rising to the occasion, electronic systems remain one of the potential technologies to be considered. This paper aims at addres

How to contain the spread of the COVID-19 virus is a major concern for most countries. As the situation continues to change, various countries are making efforts to reopen their economies by lifting some restrictions and enforcing new measures to prevent the spread. In this work, we review some approaches that have been adopted to contain the COVID-19 virus such as contact tracing, clusters identification, movement restrictions, and status validation. Specifically, we classify available techniqu

International audience

[LAK’20: 10th International Learning Analytics and Knowledge] 23-27 March 2020; The University of Frankfurt, Frankfurt, Germany