Showing posts with label e-learning implementation. Show all posts
Showing posts with label e-learning implementation. Show all posts

Monday, August 14, 2023

Finding Focus

Poor Mental Focus: The Universal Problem:

My last article reviewed how the average person can understand the mechanics of assessment, plainly known as “testing” or even “cognitive tests”. Many brain boost companies claim both recent and historic cognitive findings, some cloudy, not accurately clarified. And, most digital learning applications do not generate sustained focus.

The internet is awash with brain and cognitive articles and podcasts with many view slants. My articles are rooted as a parent of three, classroom and learning disabilities teacher, data analyst, researcher, and artistic program designer applying puppetry. 

To stay abreast with current popular thought/mind processes, and to offer understanding and desire for mental/physical wellness, I am visible on social media.

With that said, this article is on how deep learning with fixed focus affects our lives and identities.

Identity Empowerment through Focal Strength

There are many types of over- layers of our focal identities: on the family, religious, work, school, social, and emotional event-spending. 

Yet, the most important one to consider:  How to take on new tasks and ignore distractions.

My former articles have discussed how visual and auditory memory integration becomes elusive with too much addictive screen time adherence. 

It will destroy visual and auditory integration (necessary for deep understanding/comprehension).

Once you completely “understand” a situation, and apply rationale, your stress level lowers.

But, instead, we react impulsively. We all “obey” our screens with compulsivity. Marketing strategies depend upon our compulsive natures that we will react instantly to their clever lures. Ads pop up continuously, diverting our thoughts and concentrated attention. 

We apply cell phone “Focus” settings to turn out the distractive onslaught of visual images. But, even then, we still do not focus on new learning tasks optimally.

Engulfed by distractions, we multi-task that further diverts the concentration at hand.

Creating Purposeful Goals to Sustain Focus

We may additionally have weak visual and auditory working memory to focus effectively. Thereby, we may not integrate properly for good reasoning capability. This soon unites with mental depression, ignited by constant screen adherence.

Furthermore, instead of creating a unique personal identity to formulate the joy of our own being, we spend excessive amounts for concert entertainment.

This brief surge of excitement does not compensate for our lack of mental focus, or a sense of purpose, we sorely need for today’s survival. Yet, we become addicted to this sketchy lifestyle expenditure pattern.

We Search for this Elusive, Desired, Focusing

A recent neuroscience article stated findings re visual stimuli and fighting distractions called “Beta Bursts,”and how they appear from sustained, continued focus. [1] 

Brain frontal cortex neurons create “Beta Bursts” through visual movement and fixed attention. To personally obtain a visual Beta Burst, you must forcibly be directed towards a goal, rather than distractions.  Brain neurons can be re-directed to an important task, but it does take an enormous amount of determined energy to do so.

Okay, how do we create these goals for fixed focal attention?

Solution: Daily, Progressive Procedural Learning.

But, which one? 

There are many brain development choices: stimulation devices, (but will not improve current cognitive levels), medical drugs, pills, various digital, brain programs, (few will improve the critically needed auditory sequencing capability), diets, all designed to reduce brain fog and create learning prowess.

But, these varying choices do not necessarily make you adept in following and retaining sequential, skill-set procedures, nor last.

My digital solution is a worthy consideration: The Bridge to Achievement has 42 years in published, juried, Beta research and development. [2]



1.       Musical, rhythmical, facial focus with chunking – visualization – pattern finding operations, is a good option to obtain fixed attention for deep learning,

2.       Consecutive, determined practice is the next requirement.

3.      The lessons must then build on each other in difficulty level with purpose. 

4.      Then, the learner should recognize their progressive improvement, and keep going.            

5.      Finally, the rhythmic, timed, visual and sound adherence will re-formulate one’s brain cognition and integration. Improvement is “not a quick fix”, but you can see improvement gradually, peaking in a year or two, if you are motivated, and determined, with a goal-set.

UTube: Jankuypererland1111

 Now, you can recognize and resolve your insidious mental focus limitations, so you can take action to alleviate stress, depression, and confusion.


[1]   Odorczyk, Kelsey. (August 11, 2023). Brain’s Traffic Directors: Neurons that Keep Us Focused on Tasks. Neuroscience News, University of Pennsylvania, School of Medicine.

 [2]  Erland, J. K. (© 2008). Downloadable, unpublished report. Five Generations, 27-years of iterative Brain-Based Accelerative Learning Experimentation Demonstrate Cognitive Skill Improvement Enhances Academic and Career Goals. (https://memspan/jalt).

Erland, J. K. (Fall 2000). Brain-Based Longitudinal Study Reveals Subsequent High Academic Achievement Gain for Low-Achieving, Low Cognitive Skills, Fourth Grade Students. Journal of Accelerated Learning and Teaching. 25, (3&4) pp. 5-48. ERIC ED # 453-553. & # CS 510 558. https://Books.Google.com/jankuypererland pages 41, 44

Erland J. K. (c 1989), Hierarchy of Thinking. Mem-ExSpan, Inc.Erland, J. K. (© 2008). Downloadable, unpublished report. Five Generations, 27-years of iterative Brain-Based Accelerative Learning Experimentation Demonstrate Cognitive Skill Improvement Enhances Academic and Career Goals. (https://memspan/jalt).

Erland J. K. (c 1989), Hierarchy of Thinking. Mem-ExSpan, Inc.

 

Sunday, October 30, 2022

Think Twice

Memory (Listening) Transfer Awareness

 

Many of us are familiar with the big variety of brain games designed for visual working memory speed. Unfortunately, they do not measure long term memory transfer, visual and auditory, needed to understand, and retain, in-depth meanings when learning new material.

 Also referenced as deep learning memory, or brain knowledge transfer, it becomes vital for remembering math and science operations and reading comprehension. These fundamental academics underlie the ability to follow procedures and instructions in many professional arenas.

 Seldom does a single game application address all cognitive processing pieces simultaneously. Multiple training programs address “one-at- a- time” training of each perceptual processing unit. Specific cognitive skills training will initiate opening the door for additional long- term memory transfer applications. Keep in mind that there are a myriad of additional internal cognitive ability elements maintaining the overall learning and memory structure.

My writings for years have emphasized the need for visual and auditory integration, for following procedures, but there are additional properties often unnoticed; long term memory transfer, the basis for understanding/comprehending, retaining, and applying new information.

 Additionally, many brain games measure visual memory speed primarily, in repeated replicated – isolated patterns, but are not integrated with listening memory. Inadvertently, they are achieving the inverse of what they are trying to accomplish through visual memory training, by pulling the visual memory segment faster, and out of sync, with the overly needed auditory processing. The two memories, then, do not integrate properly for applied conceptualization.

 As a result, we now experience national low school reading and math scores. This is not only due to adherence to these autonomous, yet limited, skill practice screen games, but they inadvertently create a shortage of a skilled workforce that can not follow or remember detailed instructions and procedures, as the required auditory memory transfer practice unit had been overlooked.

We become horrified and baffled, blaming the problem on CoVid isolation with too many applications to sort through coupled with school/parent/business administrative issues.

I have referenced this transfer as: Deep Learning. My initial trial studies suggested that certain environmental parameters or conditions had to be in place. These earlier conditions are now replaced by online learning through the adoption of device screens.

My former writings have cautioned about too much screen time with visual images can create an inverse auditory memory transfer needed for conceptualization. Screen time should couple not only with concept practice, but inherent strategies that include widely adopted note taking and visualization coupled with self-talk while slowly increasing the difficulty measures through a variety of lessons.

 Deciding to recognize, understand, and adopt, long-term visual with auditory memory integration transfer is your first important step towards personal growth and professional progress.


Monday, August 15, 2011

"Meeting the e-Learning Implementation Challenge"



Creating Successful e-Learning Practice:

Today’s educational marketplace is becoming flooded with educational e-learning programs and products. They each focus on student improvement in learning basic skills such as reading and math, or any subject matter imaginable. Classroom performance will now be measured with each individual learner, not as class averages.

Subsequently, teachers having a classroom full of learning deficiencies will not be blamed for the class’s slow progress. My research demonstrated that with a class full of low auditory and visual memory learners, some of the students made gains latently, one to two years later. There were two types of control groups in the study.

Every classroom has several levels of learners for basic skills in reading and math. They will work at their own pace, possibly with peer partners with a new e-Learning program. Each student’s cognitive skills and learning styles will be recognized. The classroom will be managed with wide differentiation, but some effective training programs will be directed to the class as a whole.

Although continuously evolving as to “who and what” they measure, Performance Management Systems will be in place. Learning performance data will collect how much time each student spends on task and attending to the work flow process, and whether items are completed and answered correctly. This will be sent to the student’s own work assignment dashboard.

This is where benchmarks come into play. Each work unit assignment must be passed before going on to the next level. However, often these are multiple choice questions, which do not always measure a student’s actual performance accurately. This becomes a concern.

The proof-in-the-pudding is through written assignment evaluations. Although they take longer to grade, missteps are easily spotted by a trained eye. These written assignments should be sent home daily for parents to follow.

Easy-to-use data systems will be available to schools for effective instructional decisions. The data will be aggregated into a data base pool as to how the student is performing with each step of the learning process. Scores that are not met, the work will be reviewed and repeated. The benchmarked lessons will comprise program effectiveness summaries.

Parents will become more involved and supervise online learning sessions at home. Students will have their school computerized dashboard transferred to homework assignments. Supplemental online tutorial work – will be explored to high levels. Comprehension will be emphasized, and there will be alternative forms of recitation. Work process flow states will be introduced, and speed of work deemphasized.

Professional educator development will be instrumental in learning these new procedures and processes. The school culture will become one led to continuous personalized student improvement. In some cases, teachers may sign compliance agreements to ensure the accuracy of the instruction, so that student in-class learning time is highly functional. There will be more of “passing through the grades” with students winding up in secondary school unable to compute, read, write, and communicate effectively.

Schools will chose particular e-Learning programs based upon data effectiveness track records. Data will be aggregated according to student learning performance levels and demographic groups. Only the best e-Learning programs will survive, rising to the top and be in demand.

Determining the most effective e-learning programs through performance evaluations will be challenging.

School district administrators should consider a variety of ways for e-Learning data collection implementation; classes with a particular e-Learning training program, a class or two without any e-Learning, and classes with an alternative e-learning training program. This creates control comparison groups not only for the class achievement as a whole, but with individual learners.

A consideration would be to continue to collect the data from individual students for two years, then, switch around the e-Learning programs, and compare results for the following two years. It may be found that there are some results for many programs. School district administrators, educators, parents, and investors will be interested in the outcomes.

Unfortunately, this data measurement scenario will take a few years for complete evaluation outcomes.

Gradually, but purposefully, new research-based methodologies and systems will be put in place through e-Learning transfer. Educators will find their work increasingly exciting as they watch their students grow and excel to new heights. Students, seeing themselves, and their peer classmates excelling, will develop enthusiasm for learning, thus reducing behavior problems.

Consequently, the e-Learning implementation challenge becomes well-worth-the effort for educational practice improvement.

Erland, J. K (Fall 2000). Brain-Based Accelerated Learning Longitudinal Study Reveals Subsequent High Academic Achievement Gain for Low Achieving, Low Cognitive Skill Fourth Grade Students. The Journal of Accelerated Learning and Teaching 25 3 & 4.