30 Oct 2008
Task 5: Abuses of Mind Mapping Technology
29 Oct 2008
Task 4: Writing in Engineering Classes
Since we are still on the very basic stage of engineering study, we have not encountered much writing in our engineering classes yet in the Sem1 modules. However, taking my previous writing experience for the GEK module as example, the major difficulties that I have are vocabulary and academic writing style.
On the one hand, most of the writings in engineering classes are related to certain academic areas, such as MLE1101 is about material science and engineering, and EG1109 is about mechanical engineering, which are not usually mentioned in our daily casual conversation and involve a lot of specific academic vocabularies. Therefore, when I write on such topics, I usually feel that I’m repeating words and the essay looks very unprofessional and boring due to my lack of academic vocabulary. To resolve this problem, I have to read a lot on the topic that I’m going to write about beforehand so as to gather some vocabularies on the particular subject. In the long run, I think I’ll consist on reading academic essays and news articles and accumulate my academic vocabularies.
On the other hand, another most serious difficulty I met in my writing is the academic style of writing. In academic writing, we need to use an objective tune and cite examples and references for each of the supporting points. However, in my writing, I tend to explain my point base on my own logic and have difficulty in citing the appropriate examples. In addition, the format of academic writing also needs to be observed. In resolving this difficulty, same effort is required, that is to read more academic essays or journals and learn from their writing style. More practices may also help in familiarizing with the format of citation and reference.
Task 3: Advance personalized learning
For a long time, experts and researchers have debated about the best way of education between phonics and whole-word recognition. Throughout the educational system, children as well as adults have been educated similarly following a “one-size-fits-all” approach regardless of individual differences. However, recently “personalized learning”, in which instruction is in accordance with a student’s individual needs, has gained a growing appreciation.
Why is personalized learning useful?
Learners can be divided into several categorizes. Some are highly self-motivated and learn best exploring a realm of knowledge. Some prefer a more structured approach. Another type is more motivated by external rewards and may learn best with step-by-step instruction. Others resist learning and do not have any motivation or interest in achieving goals.
The categorization of different learners is the base for developing personalized instruction. However, the truly personalized learning can be more individualized. According to their learning type, students prefer differently among learning examples, solving problems and so on. Under different conditions, people can also switch their preferences.
Many personalized learning approaches make use of computerized instruction. There are “intelligent” Web-based education systems, “recommender” systems that guide individual learner using Web-based resources, and algorithms that adjust recommendations to the abilities of the student.
What personalized learning systems are available now?
Web-based education systems are common. Systems that deliver and facilitate individual learning and multimedia modules that provide various forms of information have been designed. The delivery of instructional material is an important part of personalized learning. For instance, the instructional contents are delivered in different sequences in intelligent tutoring systems tailored for each individual. Many methods have been explored to optimize the order of presentation.
Recommender systems are widely encountered on the web also. These systems are more often designed for specific learning problem, such as mastering a second language. For example, some systems recommend books or reading lessons that most suited to an individual learner by tracking student’s errors and learning weaknesses.
What can engineering do to improve learning?
Ongoing research in neuroscience is providing clues to refine individualized instruction. A major challenge for the software engineers is to develop teaching methods that optimize learning, given the diversity of individual preferences and the complexity of each human brain. Engineers will play roles in most aspects of these complex problems. Mastery of these processes in advanced software could make learning more reliable.
Reference:
Advance personalized learning. (n.d.). Retrieved September 30, 2008 from http://www.engineeringchallenges.org/cms/8996/9127.aspx